airflow Remote Jobs

115 Results

1d

Senior Data Scientist - Commerce

SquareSan Francisco, CA, Remote
Bachelor degreetableauairflowsqlDesignpython

Square is hiring a Remote Senior Data Scientist - Commerce

Job Description

The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you’ll be embedded in our Commerce organization and work closely with product management as well as other cross-functional partners to help deepen the integration of the Cash App and Afterpay ecosystems and focus on innovative products like Afterpay Plus. In addition to that standard technical and communication skills we target in a Data Science candidate, an understanding of consumer shopping experiences is a huge value add for candidates considering this role.

As a Data Scientist you will:

  • Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders
  • Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior
  • Design and analyze A/B experiments to evaluate the impact of changes we make to the product
  • Work with engineers to log new, useful data sources as we build new product features
  • Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
  • Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
  • Build and share data visualizations and self-serve dashboards for your partners
  • Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Qualifications

You have:

  • Previous exposure to or interest in areas like anomaly detection or regulatory data science 
  • A bachelor degree in statistics, data science, or similar STEM field with 7+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role
  • Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
  • Experience with scripting and data analysis programming languages, such as Python or R
  • Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities

Technologies we use and teach:

  • SQL, Snowflake, etc.
  • Python (Pandas, Numpy)
  • Tableau, Airflow, Looker, Mode, Prefect

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1d

Senior Data Scientist - Identity

SquareSan Francisco, CA, Remote
Bachelor degreetableauairflowsqlpython

Square is hiring a Remote Senior Data Scientist - Identity

Job Description

The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you’ll be embedded in the Identity workstream of our Trust organization and work closely with Identity product management as well as other cross-functional partners to deliver meaningful insights about our customers and our identity systems. Because our identity systems play such a critical role to the company and to expanding access to our users, a strong attention to detail and appreciation for storytelling with data is absolutely critical for this position.

As a Data Scientist you will:

  • Partner directly with the Cash App Trust org, working closely with product, operations, engineers, legal and compliance, and machine learning teams
  • Produce accurate and timely reports from complex datasets using SQL and scripting languages to deliver critical insights to the product team and other key stakeholders, both internal and external
  • Approach problems from first principles, synthesizing large datasets into clear data visualizations and dashboards to tell compelling stories about customer behavior and product initiatives
  • Build, monitor, and report on metrics that drive strategy and facilitate decision making for key business initiatives
  • Demonstrate a sense of urgency, attention to detail, and excellent business judgment in all work
  • Understand and interpret A/B experiments to incorporate the impact of changes we make into key performance indicators
  • Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
  • Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Qualifications

You have:

  • Previous exposure to or interest in areas like leadership reporting, anomaly detection, audit or regulatory data science
  • A bachelor degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role
  • Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
  • Experience with scripting and data analysis programming languages, such as Python or R
  • Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities
     

Technologies we use and teach:

  • SQL, Snowflake, etc.
  • Python (Pandas, Numpy)
  • Tableau, Airflow, Looker, Mode, Prefect

See more jobs at Square

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1d

Senior Data Scientist - Operating Systems

SquareSan Francisco, CA, Remote
Bachelor degreetableauairflowsqlDesignpython

Square is hiring a Remote Senior Data Scientist - Operating Systems

Job Description

The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you’ll be embedded in our Operating Systems organization and work closely with product management as well as other cross-functional partners to architect and enhance the overarching Cash App experience, and build pathways for customers to enjoy the full value of the Cash product ecosystem, via services for driving acquisition, onboarding, product discovery, engagement and retention.

As a Data Scientist you will:

  • Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders
  • Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior
  • Design and analyze A/B experiments to evaluate the impact of changes we make to the product
  • Work with engineers to log new, useful data sources as we build new product features
  • Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
  • Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
  • Build and share data visualizations and self-serve dashboards for your partners
  • Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Qualifications

You have:

  • Previous exposure to or interest in areas like anomaly detection or regulatory data science 
  • A bachelor degree in statistics, data science, or similar STEM field with 7+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role
  • Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
  • Experience with scripting and data analysis programming languages, such as Python or R
  • Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities
     

Technologies we use and teach:

  • SQL, Snowflake, etc.
  • Python (Pandas, Numpy)
  • Tableau, Airflow, Looker, Mode, Prefect

See more jobs at Square

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1d

Staff ML Modeler, Financial Crimes (CashApp)

SquareSan Francisco, CA, Remote
MLairflowapipythonAWS

Square is hiring a Remote Staff ML Modeler, Financial Crimes (CashApp)

Job Description

The Financial Crimes Technology team at Cash App detects and reports illegal and suspicious activity on Cash App. We work globally with partners in Product, Counsel and Engineering to ensure that we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.

We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission. As Cash App scales, we monitor hundreds of billions of dollars in transactions across traditional payment and blockchain networks. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Our systems also proactively block payments in real time where appropriate. Now, we are also leveraging generative AI technologies to improve agent workflow and case review tools; by adding features that accelerate agent productivity and enable them to make faster, more informed and accurate decisions.

This is a new and significant opportunity to rethink and optimize Financial Crimes Operations at CashApp scale. This is an IC role, but the Staff level has significant leadership responsibilities that include owning, and driving strategic roadmaps & priorities to completion by collaborating with relevant cross functional stakeholders.

 You will:

  • Experiment and deploy AI copilot and self-driving solutions at scale to improve agent productivity and/or eliminate manual decision loops altogether

  • Own the end to end pipeline including API calls to disparate data sources, advanced prompt tuning and/or model fine tuning, metrics and evaluation, and integrating Gen AI output into production case generation systems

  • Leverage LLMs to accelerate label generation to alleviate cold start problems for traditional ML classification problems 

  • Build classification models to detect illegal use of the app across the peer-to-peer, banking, card, equities and bitcoin products

  • Leverage diverse data sets that include payment transactions, connected users and asset graphs, unstructured text data and user profile information to build ML and Generative AI models.  

  • Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance

  • Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done

Qualifications

You Have: 

  • 5+ years of Machine Learning modeling experience. Full stack ML experience is strongly preferred

  • A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field

  • Experience with Large language models, and a background in traditional NLP techniques is a strong plus for this role

  • End to end experience of building and deploying ML/AI to production systems (batch and real time) that are performant at scale

  • Experience of independently owning, influencing and driving programs with multiple cross functional stakeholders that have significant business impact

  • Have a curious, growth-oriented mindset and the ability to think in first principles to identify creative solutions that demonstrate value

See more jobs at Square

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1d

Staff AI Engineer, Financial Crimes (CashApp)

SquareSan Francisco, CA, Remote
MLairflowDesigngitMySQLpythonAWS

Square is hiring a Remote Staff AI Engineer, Financial Crimes (CashApp)

Job Description

The Financial Crimes Technology team at Cash App detects and reports illegal and suspicious activity on Cash App. We work globally with partners in Product, Counsel and Engineering to ensure that we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.

We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission. As Cash App scales, we monitor hundreds of billions of dollars in transactions across traditional payment and blockchain networks. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Our systems also proactively block payments in real time where appropriate. Now, we are also leveraging generative AI technologies to improve agent workflow and case review tools; by adding features that accelerate agent productivity and enable them to make faster, more informed and accurate decisions.

This is a new and significant opportunity to rethink and optimize Financial Crimes Operations at CashApp scale. This is an IC role, but the Staff level has significant leadership responsibilities that include owning, and driving strategic roadmaps & priorities to completion by collaborating with relevant cross functional stakeholders.

 

You will:

  • Design, build, integrate and enhance batch inference services and tooling that support our LLM Copilot and Autopilot use cases

  • Unblock the modelers on the team with the infrastructure/tools necessary for development & production work including solving MLOps, data access, security and scalability issues

  • Develop prototypes and partner with modelers to encourage adoption of new tools and technologies and proactively identify and plan for future needs of our modelers

  • Lead by example by applying AI/ML and engineering best practices

  • Partner closely with Financial Crimes, AI/ML Platform and Product Engineering teams across Cash App and Block

Qualifications

  • 5+ years of combined Machine Learning and Engineering industry experience (full stack ML experience is strongly preferred)

  • A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field

  • Familiarity with Linux/OS X command line, version control software (git), and general software development principles with a machine learning software development life-cycle orientation.

  • Experience working with product, business, and engineering to prioritize, scope, design, and deploy ML models

  • Familiarity with Python computing stack, MySQL, Snowflake, Airflow, Java/Go

  • Hosted models for inference on public clouds like GCP, AWS and/or built micro-services to facilitate event based triggering, feature generation, model inference and downstream actioning.

See more jobs at Square

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1d

Staff AI Modeler, Financial Crimes (CashApp)

SquareSan Francisco, CA, Remote
MLairflowapipythonAWS

Square is hiring a Remote Staff AI Modeler, Financial Crimes (CashApp)

Job Description

The Financial Crimes Technology team at Cash App detects and reports illegal and suspicious activity on Cash App. We work globally with partners in Product, Counsel and Engineering to ensure that we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.

We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission. As Cash App scales, we monitor hundreds of billions of dollars in transactions across traditional payment and blockchain networks. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Our systems also proactively block payments in real time where appropriate. Now, we are also leveraging generative AI technologies to improve agent workflow and case review tools; by adding features that accelerate agent productivity and enable them to make faster, more informed and accurate decisions.

This is a new and significant opportunity to rethink and optimize Financial Crimes Operations at CashApp scale. This is an IC role, but the Staff level has significant leadership responsibilities that include owning, and driving strategic roadmaps & priorities to completion by collaborating with relevant cross functional stakeholders.

 You will:

  • Experiment and deploy AI copilot and self-driving solutions at scale to improve agent productivity and/or eliminate manual decision loops altogether

  • Own the end to end pipeline including API calls to disparate data sources, advanced prompt tuning and/or model fine tuning, metrics and evaluation, and integrating Gen AI output into production case generation systems

  • Leverage LLMs to accelerate label generation to alleviate cold start problems for traditional ML classification problems 

  • Build classification models to detect illegal use of the app across the peer-to-peer, banking, card, equities and bitcoin products

  • Leverage diverse data sets that include payment transactions, connected users and asset graphs, unstructured text data and user profile information to build ML and Generative AI models.  

  • Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance

  • Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done

Qualifications

You Have: 

  • 5+ years of Machine Learning modeling experience. Full stack ML experience is strongly preferred

  • A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field

  • Experience with Large language models, and a background in traditional NLP techniques is a strong plus for this role

  • End to end experience of building and deploying ML/AI to production systems (batch and real time) that are performant at scale

  • Experience of independently owning, influencing and driving programs with multiple cross functional stakeholders that have significant business impact

  • Have a curious, growth-oriented mindset and the ability to think in first principles to identify creative solutions that demonstrate value

See more jobs at Square

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1d

Copy of Senior Machine Learning Modeler, Financial Crimes (Cash App)

SquareSan Francisco, CA, Remote
MLBachelor's degreeairflowpythonAWS

Square is hiring a Remote Copy of Senior Machine Learning Modeler, Financial Crimes (Cash App)

Job Description

The Financial Crimes Technology team at Cash App detects and reports illegal and suspicious activity on Cash App. We work globally with partners in Product, Counsel and Engineering to ensure that we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.

We are using Machine Learning and Generative AI as an important part of our toolkit to fulfill our mission. As Cash App scales, we monitor hundreds of billions of dollars in transactions across traditional payment and blockchain networks. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Our systems block payments in real-time where appropriate. Additionally, we use generative AI technologies to improve agent workflow and case review tools, by adding features that accelerate agent productivity and allow them to make more informed and accurate decisions.

This is an IC role, but the senior level has leadership responsibilities including leading strategic roadmaps and priorities to completion by collaborating with relevant cross functional stakeholders.

You will:

  • Facilitate CashApp's ML based Customer Risk Rating program to detect onboarding and ongoing risk and satisfying Know Your Customer (KYC) and Know Your Business (KYB) requirements
  • Build classification models to detect illegal use of the app across the peer-to-peer, banking, card, equities and bitcoin products
  • Leverage diverse data sets including payment transactions, connected users and asset graphs, unstructured text data and user profile information to build ML and generative AI models.
  • Experiment and deploy AI copilot and self-driving solutions at scale to improve agent productivity and/or eliminate manual decision loops altogether
  • Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance
  • Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, and cloud services (both GCP & AWS)

Qualifications

You Have:

4+ years of Machine Learning modeling experience. Full stack ML experience

  • A Bachelor's degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field
  • End-to-end experience building and deploying ML to production systems (batch and real-time) that are performant at scale
  • Experience with advanced ML techniques like large language models, embeddings, sequence modeling, and graph convolutional networks
  • Experience of independently driving programs with multiple cross functional stakeholders (eg. Engineering, Product, and Country leads) that have business impact
  • Have a curious, growth-oriented mindset and the ability to think in first principles to identify creative solutions that demonstrate value

See more jobs at Square

Apply for this job

1d

Staff ML Engineer, Financial Crimes (CashApp)

SquareSan Francisco, CA, Remote
MLairflowDesigngitMySQLpythonAWS

Square is hiring a Remote Staff ML Engineer, Financial Crimes (CashApp)

Job Description

The Financial Crimes Technology team at Cash App detects and reports illegal and suspicious activity on Cash App. We work globally with partners in Product, Counsel and Engineering to ensure that we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.

We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission. As Cash App scales, we monitor hundreds of billions of dollars in transactions across traditional payment and blockchain networks. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Our systems also proactively block payments in real time where appropriate. Now, we are also leveraging generative AI technologies to improve agent workflow and case review tools; by adding features that accelerate agent productivity and enable them to make faster, more informed and accurate decisions.

This is a new and significant opportunity to rethink and optimize Financial Crimes Operations at CashApp scale. This is an IC role, but the Staff level has significant leadership responsibilities that include owning, and driving strategic roadmaps & priorities to completion by collaborating with relevant cross functional stakeholders.

 

You will:

  • Design, build, integrate and enhance batch inference services and tooling that support our LLM Copilot and Autopilot use cases

  • Unblock the modelers on the team with the infrastructure/tools necessary for development & production work including solving MLOps, data access, security and scalability issues

  • Develop prototypes and partner with modelers to encourage adoption of new tools and technologies and proactively identify and plan for future needs of our modelers

  • Lead by example by applying AI/ML and engineering best practices

  • Partner closely with Financial Crimes, AI/ML Platform and Product Engineering teams across Cash App and Block

Qualifications

  • 5+ years of combined Machine Learning and Engineering industry experience (full stack ML experience is strongly preferred)

  • A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field

  • Familiarity with Linux/OS X command line, version control software (git), and general software development principles with a machine learning software development life-cycle orientation.

  • Experience working with product, business, and engineering to prioritize, scope, design, and deploy ML models

  • Familiarity with Python computing stack, MySQL, Snowflake, Airflow, Java/Go

  • Hosted models for inference on public clouds like GCP, AWS and/or built micro-services to facilitate event based triggering, feature generation, model inference and downstream actioning.

See more jobs at Square

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3d

Data Engineer

DevoteamTunis, Tunisia, Remote
airflowsqlscrum

Devoteam is hiring a Remote Data Engineer

Description du poste

Au sein de la direction « Plateforme Data », le consultant intégrera une équipe SCRUM et se concentrera sur un périmètre fonctionnel spécifique.

Votre rôle consistera à contribuer à des projets data en apportant votre expertise sur les tâches suivantes :

  • Concevoir, développer et maintenir des pipelines de données robustes et évolutifs sur Google Cloud Plateform (GCP), en utilisant des outils tels que BigQuery, Airflow, Looker et DBT.
  • Collaborer avec les équipes métier pour comprendre les exigences en matière de données et concevoir des solutions adaptées.
  • Optimiser les performances des traitements des données et des processus ELT en utilisant AirFlow, DBT et BigQuery.
  • Mettre en œuvre des processus de qualité des données pour garantir l'intégrité et la cohérence des données.
  • Travailler en étroite collaboration avec les équipes d'ingénierie pour intégrer les pipelines de données dans les applications et les services existants.
  • Rester à jour avec les nouvelles technologies et les meilleures pratiques dans le domaine du traitement des données et de l'analyse.

 

    Qualifications

    • Diplômé(e) d’un Bac+5 en école d'ingénieur ou équivalent universitaire avec une spécialisation en informatique.
    • Au moins 4 ans d'expérience dans le domaine de l'ingénierie des données, avec une expérience significative dans un environnement basé sur le cloud GCP.
    • Maîtrise avancée de SQL pour l'optimisation et le traitement des données.
    • Certification Google Professional Data Engineer est un plus.
    • Très bonne communication écrite et orale (livrables et reportings de qualité).

    See more jobs at Devoteam

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    3d

    Data engineer (Promova)

    GenesisKyiv, UA - Remote
    tableauairflowsqlmongodbapigitdockerpostgresqlpythonAWS

    Genesis is hiring a Remote Data engineer (Promova)

    Boosters — це українська продуктова компанія. Ми створюємо продукти в сферах EdTech та life-improvement, які несуть цінність для22 мільйонів людей в усьому світі. Наші додатки регулярно потрапляють в ТОПи рейтингів в своїх категоріях.

    Можливо ти вже бачив(ла) Avrora, Manifest чи Promova.

    Наша головна перевага — це люди. Ми працюємо з тими, хто щодня прагне до самовдосконалення та ставить собі за мету перемагати разом з нами. В команді вже більше 100 людей, і ми не плануємо зупинятися.

    Наразі ми шукаємо Data engineerв командуPromova. Основна мета цієї ролі — налаштування та підтримка оптимальної сloud-based інфраструктури для отримання, зберігання та обробки даних, що допоможе команді аналітики робити якісні та точні висновки на основі даних для прийняття рішень і стрімкого розвитку продуктів Promova.

    Promova — платформа для вивчення мов, яка складається із мобільного застосунку, веб-сайту, групових курсів та індивідуальних уроків з репетиторами, а також медіа та соціальних мереж. Застосунок завантажили вже більше14 мільйонів раз,а користувачі пройшли разом з нами 35 мільйонів уроків.Ціль команди на наступні 2 роки — зайняти топ-5 позицію серед онлайн-сервісів з вивчення іноземних мов. А впродовж наступних 5 років ми хочемо досягнути статусу компанії-єдинорога з українським корінням.

    Твоя зона впливу:

    • Побудова та оптимізація архітектури DWH (BigQuery);
    • Забезпечення поставки даних в DWH: робота зі сторонніми API (Facebook, Google Ads, AppsFlyer, etc.) та з внутрішніми БД (PostgreSQL, MongoDB);
    • Оптимізація наявних та розробка нових ETL/ELT процесів (Airflow, Fivetran, etc);
    • Налаштування хмарних сервісів (Google, AWS);
    • Обробка, підтримка коректності та опис моделей даних.

    Для цього тобі знадобиться:

    • 2+ роки досвіду на позиції дата інженера або дата аналітика;
    • Досвід роботи з Python для отримання або відправки даних, обробки помилок сторонніх API;
    • Відмінні знання SQL;
    • Досвід у розробці ETL/ELT пайплайнів даних;
    • Досвід роботи з Git та основи Docker;
    • Досвід роботи з Google Cloud (Cloud Functions, GCS, DataStrem);

    Ми пропонуємо:

    • Робота з сучасним стеком технологій (BigQuery, Airflow, Tableau);
    • Роботу в команді професіоналів та з аудиторією більше одного мільйону в місяць;
    • Філософію та умови для твого постійного росту та розвитку;
    • Великий простір для втілення власних ідей і впливу на продукт.

    Корпоративні бенефіти:

    • Компенсація додаткового навчання на зовнішніх тренінгах і семінарах та Business і Management School для співробітників;
    • Велика електронна бібліотека та доступ до платних онлайн-курсів і конференцій, внутрішні бесіди і воркшопи, курси англійської;
    • Корпоративний лікар та медичне страхування.

    Процес інтервʼю:

    • Pre-screen з рекрутером (40 хвилин)
    • Інтервʼю з BI & Analytics Lead (1,5 години)
    • Тестове завдання
    • Bar-raising (1,5 години)

    Залишай своє резюме і давай створювати юнікорни разом!????

    See more jobs at Genesis

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    5d

    Senior Data Engineer

    agileairflowsqlDesignazurepython

    Spirit Omega Inc. is hiring a Remote Senior Data Engineer

    Senior Data Engineer - Spirit Omega Inc. - Career PageSee more jobs at Spirit Omega Inc.

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    5d

    Data Engineer

    agileairflowsqlDesignazurepython

    Spirit Omega Inc. is hiring a Remote Data Engineer

    Data Engineer - Spirit Omega Inc. - Career PageSee more jobs at Spirit Omega Inc.

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    6d

    Senior Machine Learning Engineer

    Experian., ., Remote
    MLscalaairflowsqlDesignkubernetespython

    Experian is hiring a Remote Senior Machine Learning Engineer

    Job Description

    Role Summary

    We are looking for a Senior Machine Learning Engineer to join our global engineering team. We need a person who can work hands-on as an engineer, solving complex problems and building advanced software systems. We face daily challenges that are both unique and engaging, while processing data at petabyte scale. That is over one trillion data points in any given 60-day period — with consumer privacy and data security at the heart of everything we do.

    Knowledge, Skills and Experience

    • Google Cloud Platform (GCP), Google Dataflow/Beam, SQL, BigQuery
    • Spark ML, TensorFlow, Kubeflow, Python, PyTorch
    • Scala, sbt, cats, http4s, fs2
    • Airflow, Looker, Kubernetes

    Key Responsibilities

    • Serve as a Senior member of the team by contributing to the architecture, design, and implementation of EMS systems
    • Mentor junior engineers and enable their growth
    • Lead and drive technical projects. Take responsibility for the planning, execution and success of complex technical projects
    • Collaborate with other engineering, product, and data science teams to ensure we’re building the best products
    • Ability to be on call if required and to accommodate east coast time zone

    Qualifications

    Qualifications

    • 5+ years of experience making significant contributions in the form of code
    • Strong understanding of algorithms and data structures and knowing when to apply them
    • Strong understanding of machine learning techniques to develop better predictive and clustering models
    • Experience working with high-scale systems
    • Experience in creating powerful machine learning tools that facilitate experimentation and productionalization at scale
    • Experience in data engineering and warehousing to develop ingestion engines, ETL pipelines, and organizing data to expose it in a consumable format

    See more jobs at Experian

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    6d

    Senior Ruby Platform Engineer

    AdwerxDurham, NC - Remote
    terraformairflowRabbitMQDesignqarubydockerMySQLkubernetesNode.js

    Adwerx is hiring a Remote Senior Ruby Platform Engineer

    Durham, NC or Remote

    Adwerx is on the lookout for a Site Reliability Engineer to join our small and talented infrastructure team and help us design, build, and automate performant, resilient, and highly-available systems that our teams and customers rely on. In this role, you’ll help us run a handful of mature (and in some cases brand-new) services in the cloud and apply your skills to make them resilient, performant, and highly-available during the rapid adoption of our products. The infrastructure you’ll build has a large impact on an organization that is focused on software development best practices and standards.

    The starting title for this experienced role will be based on tenure/experience/work history.

    Our culture

    Adwerx is a place where you can thrive in our highly collaborative teams and where everyone is encouraged to contribute ideas across all levels of the organization.

    Our engineering charter is centered around humility, respect and trust. We abide by the mantra “if it’s not in version control, it doesn’t exist”, strive to write documentation our peers will love, and always try to leave things better than we found it. We employ testing and continuous delivery for all our services and empower our developers to iterate and deploy as often as they need.

    Infrastructure engineers share an on-call schedule, but our systems are stable and fire drills are rare. We host lunch and learns, conduct blameless post-mortems and regularly recognize our peers with shout outs and a fun badge program to recognize leaders in specific technical disciplines.

    How we work

    We apply the Agile/Scrum methodology to run the day to day projects at Adwerx and are heavily inspired by the “Shape Up” process with our product development process. In addition we:

    • Utilize a mature CI/CD process and deploy to production many times a day.
    • Have production-like QA environments with a culture of writing automated tests.
    • Define department SLOs and Engineering KPIs to better understand how we work..
    • Relentlessly strive for excellence with not only the products we build but also the health of our codebase and our developer ecosystem.

    Technologies we work with

    • Our primary application is built with Ruby on Rails. You’ll also encounter or work with Node.js, Go, and Python.
    • Our production systems run primarily in Google Cloud Platform though we also have a small footprint in Amazon Web Services
    • Besides our primary application, some services you will support include our VPN/Tailscale, CI/CD pipelines, Google Kubernetes Engine Clusters, MySQL databases, Airflow, RabbitMQ, and Redshift
    • Some tools we use include Terraform, Kubernetes, Datadog, Helm, Nginx, docker, NewRelic, and CircleCI

    In this mission-critical role, you will:

    • Design, build, and maintain the core infrastructure for Adwerx
    • Create, maintain, and/or iterate on various workloads in Google Kubernetes Engine
    • Contribute to the Ruby on Rails monolith to upgrade dependencies, integrate with infrastructure features, or optimize performance
    • Maintain reliable network paths and connections between all external and internal services (DNS, VPN, VPC peering)
    • Participate and run point in handling production incidents
    • Participate in solution design for new features, products, systems, and tooling
    • Find new ways to use existing systems to improve scalability and performance for our platform
    • Interact with the larger organization to ensure the uptime and reliability of our infrastructure
    • Iterate on security standards and reviewing code for secure coding practices
    • Partner with engineering teams closely to educate and consult
    • Continually monitor application/system performance and costs (SLOs), generate actionable insights and either implement or advocate for them
    • Participate in on-call rotations, along with every member of the engineering team
    • Work closely with engineering teams to conduct root cause analyses for production incidents and make plans to remediate or prevent recurrences
    • Collaboratively plot the course and document Adwerx infrastructure
    • Build a great customer experience for people using your infrastructure

    What You’ll Get:

    • Competitive salary and potential for equity.
    • Comprehensive medical, dental, and vision plan options (100% of basic plan premiums paid by company)
    • 401(k) plan with a company match of up to 4%
    • A collaborative work environment where you’ll learn about and influence every aspect of the business
    • The opportunity to work with and learn from talented leaders, developers, marketers and designers and advancement opportunities.
    • The ability to help define the foundational technology that will power the growth of our business
    • Flexible work scheduling

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    7d

    Senior Data Scientist - Product Analytics

    HandshakeSan Francisco, CA (Hybrid)
    airflowsqlDesignc++python

    Handshake is hiring a Remote Senior Data Scientist - Product Analytics

    Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.

    Your impact

    Handshake is actively seeking an Senior Data Scientist - Product Analytics specializing in Product, Growth, and/or Revenue analytics to support our Research and Development team, spearheading the measurement and analysis of product success. This pivotal role will play a crucial part in shaping Handshake’s overarching strategy and product roadmap. This position requires a strong blend of technical expertise, strategic thinking, and communication skills to guide our products' evolution and deliver maximum value to our three-sided marketplace, consisting of students, employers, and universities. This role reports to the Analytics Manager, embedded within the broader Data team, and you will work alongside a talented team of data scientists and analytics engineers. 

    Your role

    • Work side-by-side and partner strategically with a Research and Development Leadership, becoming a subject-matter expert in a given domain

    • Contribute to a data-driven product strategy and own the corresponding analytics prioritization and roadmapping to execute on and measure the effectiveness of this strategy

    • Own domain goal-setting, tracking, and reporting on progress and impact

    • Lead experimentation within a given vertical, working to ensure that tracking is instrumented proactively and scaling our ability to efficiently and reliably run experiments

    • Collaborate with Analytics Engineering and Relevance teams to define metrics and build out foundational data models

    • Contribute to the vision and strategy for product analytics and the wider data organization at Handshake

    • Lead by example to build a culture of accountability and rigor to substantiate proven business impact

    • Advocate for the millions of students and employer users on Handshake by communicating data insights and recommendations to marketing, product and leadership teams

    Your experience

    • Proven experience in using data to drive product development and decision-making and direct experience working with engineers and wider product teams

    • Strong communication and presentation skills, including the ability to translate data-related concepts and results for leadership and less technical stakeholders

    • Experience conducting exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization. Beyond just reporting metrics, we value the ability to dig in an explain the “why” behind trends

    • A clear understanding and demonstrable experience in experimentation design and process development, including comfort with A/B testing

    • Expertise in SQL is essential. Expertise with Jupyter-style notebooks and Python statistics packages is a huge plus.

    • Experience creating dashboards and visualizations in tools such as Hex, Looker, Mode, etc.

    • Ability to start, own, and drive projects to completion with minimal guidance

    Bonus areas of expertise

    • Data modeling (we use dbt!)

    • Some familiarity with LookML

    Our Analytics Stack 

    • Fivetran, Segment, Bigquery, dbt, Airflow, Looker, Hex

    Compensation range

    • $180,000-$200,000

    For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.

    About us

    Handshake is the #1 place to launch a career with no connections, experience, or luck required. The platform connects up-and-coming talent with 750,000+ employers - from Fortune 500 companies like Google, Nike, and Target to thousands of public school districts, healthcare systems, and nonprofits. In 2022 we announced our $200M Series F funding round. This Series F fundraise and valuation of $3.5B will fuel Handshake’s next phase of growth and propel our mission to help more people start, restart, and jumpstart their careers.

    When it comes to our workforce strategy, we’ve thought deeply about how work-life should look here at Handshake. With our Hub-Based Remote Working strategy, employees can enjoy the flexibility of remote work, whilst ensuring collaboration and team experiences in a shared space remains possible. Handshake is headquartered in San Francisco with offices in Denver, New York, London, and Berlin and teammates working globally. 

    Check out our careers site to find a hub near you!

    What we offer

    At Handshake, we'll give you the tools to feel healthy, happy and secure.

    Benefits below apply to employees in full-time positions.

    • ???? Equity and ownership in a fast-growing company.
    • ???? 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.
    • ???? Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.
    • ???? Handshake offers $500/£360 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.
    • ???? Generous learning & development opportunities and an annual $2,000/£1,500/€1,850 stipend for you to grow your skills and career.
    • ???? Financial coaching through Origin to help you through your financial journey.
    • ???? Monthly internet stipend and a brand new MacBook to allow you to do your best work.
    • ???? Monthly commuter stipend for you to expense your travel to the office (for office-based employees).
    • ???? Free lunch provided twice a week across all offices.
    • ???? Referral bonus to reward you when you bring great talent to Handshake.

    (US-specific benefits, in addition to the first section)

    • ???? 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.
    • ???? All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 8 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.
    • ???? Lactation support: Handshake partners with Milk Stork to provide a comprehensive 100% employer-sponsored lactation support to traveling parents and guardians.

    (UK-specific benefits, in addition to the first section) 

    • ???? Pension Scheme: Handshake will provide you with a workplace pension, where you will make contributions based on 5% of your salary. Handshake will pay the equivalent of 3% towards your pension plan, subject to qualifying earnings limits.
    • ???? Up to 25 days of vacation to encourage people to reset, recharge, and refresh, in addition to 8 bank holidays throughout the year.
    • ???? Regular offsites each year to bring the team together + opportunity to travel to our HQ in San Francisco.
    • ????️ Discounts across various high street retailers, cinemas and other social activities exclusively for Handshake UK employees.

    (Germany-specific benefits, in addition to the first section)

    • ???? 25 days of annual leave + 5 days of a winter #ShakeBreak, a one-week period of Collective Time Off across the company.
    • ???? Regular offsites each year to bring the team together + opportunity to travel to our HQ in San Francisco once a year.
    • ???? Urban sports club membership offering access to a diverse network of fitness and wellness facilities.
    • ????️ Discounts across various high street retailers, cinemas and other social activities exclusively for Handshake Germany employees.

    For roles based in Romania: Please ask your recruiter about region specific benefits.

    Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.

    Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please reach out to us at people-hr@joinhandshake.com.

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    8d

    Senior Software Engineer, Marketing Enablement

    InstacartUnited States - Remote
    Master’s DegreenosqlairflowDesignrubypostgresqlpython

    Instacart is hiring a Remote Senior Software Engineer, Marketing Enablement

    We're transforming the grocery industry

    At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

    Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

    Instacart is a Flex First team

    There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

    Overview

    About the Role 

    At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

    Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

    As a Senior Software Engineer, you will play a pivotal role in transforming the grocery industry by enhancing our platform's search visibility, improving our outreach, and ensuring that millions of people can access the food they love effortlessly. This position involves tackling complex problems with innovative solutions that enhance user experience and drive significant business results. Your work will directly influence the efficiency and effectiveness of our shopping platform, making everyday essentials accessible to a broader audience.

     

    About the Team 

    As part of the small but mighty Marketing Technology team, within our broader marketing organization, SEO at Instacart plays a crucial role.SEO at Instacart is a dynamic team, with a huge impact on our business. We operate with a "Flex First" approach. This means you'll have the flexibility to work from your preferred environment, with regular opportunities to connect in person. Our team is pivotal in driving traffic and user engagement through strategic initiatives across millions of web pages, influencing customer journeys at every stage. By collaborating with various internal teams and adapting to evolving business needs, you will contribute to a crucial aspect of our overarching business strategy and have the opportunity to work across many areas of our product in a manner that directly impacts customer experience. 

     

    About the Job 

    In your role as Senior Software Engineer, you will:

    • Design and develop: Build high-quality product features focused on enhancing search engine optimization and the user experience.
    • Collaborate effectively: Work closely with product managers, designers, and data scientists to define and execute project requirements.
    • Optimize and scale: Ensure system designs are scalable and robust to support our growing user base and data needs.
    • Innovate and improve: Regularly propose and lead new initiatives that enhance both organizational efficiency and product excellence.
    • Data handling: Develop efficient data pipelines and data models to ensure the collection and delivery of quality data.

     

    About You

    Minimum Qualifications

    • Bachelor's or Master’s degree in Computer Science, Computer Engineering, or a related field.
    • 5+ years of relevant technology experience, particularly in distributed systems.
    • Demonstrable skill and experience with Python, Ruby, React, PostgreSQL, or Go.
    • Proven ability to manage projects end-to-end with significant autonomy.
    • Strong collaborator with a growth mindset, open to feedback and learning.
    • Experience working in large-scale marketplaces, e-commerce, or companies with high-traffic apps.

     

    Preferred Qualifications

    • Experience in the startup environment, particularly in fast-paced settings.
    • Advanced knowledge in data engineering, including data pipelines and NoSQL databases.
    • Familiarity with big data technologies such as Apache Spark, Airflow, and Hadoop.
    • Prior experience working closely with marketing teams and direct involvement in SEO.

    Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policyhere.

    Offers may vary based on many factors, such as candidate experience and skills required for the role.Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offeringshere.

    For US based candidates, the base pay ranges for a successful candidate are listed below.

    CA, NY, CT, NJ
    $192,000$245,000 USD
    WA
    $184,000$235,000 USD
    OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
    $176,000$225,000 USD
    All other states
    $159,000$203,000 USD

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    8d

    Senior Data Scientist - Sales & Account Management

    SquareSan Francisco, CA, Remote
    SalesBachelor degreetableauairflowsqlDesignpython

    Square is hiring a Remote Senior Data Scientist - Sales & Account Management

    Job Description

    The Cash App Data Science (DS) organization is growing and we are looking for a Data Scientist to join the team, embedded within our Sales and Account Management domain. You will be responsible for deriving valuable insights from our extremely unique datasets as well as developing models, forecasts, analyses, reports to help achieve merchant acquisition, retention, growth and profitability goals.

    You will:

    • Partner directly with the Cash App Sales & AM team, working closely with operations, strategy, engineers, account executives/managers and leads
    • Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to key stakeholders
    • Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand merchant behavior
    • Design and analyze A/B experiments to evaluate the impact of changes we make to our operational processes and tools
    • Work with engineers to log new, useful data sources as we evolve processes, tooling, and features
    • Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
    • Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
    • Build and share data visualizations and self-serve dashboards for your partners
    • Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

    Qualifications

    You have:

    • An appreciation for the connection between your work and the experience it delivers to customers. Previous exposure to or interest in marketplace platforms specially on the merchant side, would be great to have.
    • A bachelor degree in statistics, data science, or similar STEM field with 8+ years of experience in a relevant role OR
    • A graduate degree in statistics, data science, or similar STEM field with 6+ years of experience in a relevant role
    • Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc)
    • Experience with scripting and data analysis programming languages, such as Python or R
    • Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities

    Technologies we use and teach:

    • SQL, Snowflake, etc.
    • Python (Pandas, Numpy)
    • Looker, Mode, Tableau, Prefect, Airflow

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    8d

    Senior/Staff Data Engineer, FinPlatform

    Blockchain.comLondon, United Kingdom - Hybrid
    Commercial experiencekotlinscalaairflowsqlDesigngitjavakubernetespython

    Blockchain.com is hiring a Remote Senior/Staff Data Engineer, FinPlatform

    Blockchain.com is the world's leading software platform for digital assets. Offering the largest production blockchain platform in the world, we share the passion to code, create, and ultimately build an open, accessible and fair financial future, one piece of software.

    We are looking for a talented Senior or Staff Data Engineerto join our FinPlatform team and work from our office in London. The group is part of a larger Data Science team, informing all product decisions and creating models and infrastructure to improve efficiency, growth, and security. To do this, we use data from various sources and of varying quality. Our automated ETL processes serve both the broader company (in the form of clean, simplified tables of aggregated statistics and dashboards) and the Data Science team itself (cleaning and processing data for analysis and modeling purposes, ensuring reproducibility).

    We are looking for someone with experience in designing, building, and maintaining a scalable and robust Data Infra that makes data easily accessible to the Data Science team and the broader audience via different tools. As a data engineer, you will be involved in all aspects of the data infrastructure, from understanding current bottlenecks and requirements to ensuring the quality and availability of data. You will collaborate closely with data scientists, platform, and front-end engineers, defining requirements and designing new data processes for both streaming and batch processing of data, as well as maintaining and improving existing ones. We are looking for someone passionate about high-quality data who understands their impact in solving real-life problems. Being proactive in identifying issues, digging deep into their source, and developing solutions, are at the heart of this role.

    SENIOR

    What You Will Need

    • Bachelor’s degree in Computer Science, Applied Mathematics, Engineering or any other technology-related field
    • Previous experience working in a data engineering role
    • Fluency in Python
    • Experience in both batch processing and streaming data pipelines
    • Experience working with Google Cloud Platform
    • In-depth knowledge of SQL and no-SQL databases
    • In-depth knowledge of coding principles, including Oriented Object Programming
    • Experience with Git

    Nice to have

    • Experience with code optimisation, parallel processing
    • Experience with Airflow, Google Composer or Kubernetes Engine
    • Experiences with other programming languages, like Java, Kotlin or Scala
    • Experience with Spark or other Big Data frameworks
    • Experience with distributed and real-time technologies (Kafka, etc..)
    • 5-8 years commercial experience in a related role

    STAFF

    What You Will Do

    • Maintain and evolve the current data infrastructure and look to evolve it for new requirements
    • Maintain and extend our core data infrastructure and existing data pipelines and ETLs
    • Provide best practices and frameworks for data testing and validation and ensure reliability and accuracy of data
    • Design, develop and implement data visualization and analytics tools and data products.
    • Play a critical role in helping to set up directions and goals for the team
    • Build and ship high-quality code, provide thorough code reviews, testing, monitoring and proactive changes to improve stability
    • You are the one who implements the hardest part of the system or feature.

    What You Will Need

    • Bachelor’s degree in Computer Science, Applied Mathematics, Engineering or any other technology-related field
    • Previous experience working in a data engineering role
    • Fluency in Python
    • Experience in both batch processing and streaming data pipelines
    • Experience working with Google Cloud Platform
    • In-depth knowledge of SQL and no-SQL databases
    • In-depth knowledge of coding principles, including Oriented Object Programming
    • Experience with Git
    • Ability to solve technical problems that few others can do
    • Ability to lead/coordinate rollout and releases of major initiatives

    Nice to have

    • Experience with code optimisation, parallel processing
    • Experience with Airflow, Google Composer or Kubernetes Engine
    • Experiences with other programming languages, like Java, Kotlin or Scala
    • Experience with Spark or other Big Data frameworks
    • Experience with distributed and real-time technologies (Kafka, etc..)
    • 8+ years commercial experience in a related role

    COMPENSATION & PERKS

    • Full-time salary based on experience and meaningful equity in an industry-leading company
    • Hybrid model working from home & our office in Central London (SoHo) 
    • Work from Anywhere Policy - up to 20 days to work remotely 
    • ClassPass 
    • Budgets for learning & professional development 
    • Unlimited vacation policy; work hard and take time when you need it
    • Apple equipment
    • The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an emerging field
    • Flexible work culture  

    Blockchain is committed to diversity and inclusion in the workplace and is proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, color, national origin, gender, gender expression, sex, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, and apprenticeship. Blockchain makes hiring decisions based solely on qualifications, merit, and business need at the time.

    See more jobs at Blockchain.com

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    9d

    Data Analyst, Finance & Product

    Flipside Crypto%LABEL_MULTIPLE_LOCATIONS% (2) - Remote
    tableauairflowsqlDesignpython

    Flipside Crypto is hiring a Remote Data Analyst, Finance & Product

    Company Overview:

    Flipside is a commercialization engine that powers blockchain growth. We activate 110,000+ analysts to produce insights, drive narratives, and transact, building emotional connection and a strong and active community that supports token price and chain growth. We make that possible by curating best-in-class data and making that data available entirely for free. Founded in 2017, Flipside works with partners such as Solana, Near, Flow, Avalanche, SEI, Aptos, Blast, Vertex. The company is backed by leading investors including Republic Capital, True Ventures, Galaxy Digital, Collab Currency, Hashkey, M13, and more.

    Job Title: Data Analyst, Finance & Product

    Location: Remote
    **This role will be fully remote and off-shore, international candidates are also encouraged to apply!**

    Team: Internal Analytics



    Job Description:

    We are looking for a talented and driven Data Analyst to write and maintain data pipelines, understand our business programs using both internal data and public blockchain data, and create reports and analysis to drive data-driven decision-making across our organization.

    This is a critical role on our Internal Analytics team, overseeing the programmatic delivery of internal business intelligence to our Finance and Leadership teams.

    The right candidate will combine data engineering and analysis experience to own the entire reporting pipeline, from ELT through modeling, analysis, and presentation. Strong written and verbal communication skills and experience in communicating data-driven findings to a variety of stakeholders are essential for this role, which hinges on productive cross-functional collaboration to meet business goals.

    Primary Responsibilities:

    Data Pipelines and Modeling:

    • Design, develop, and maintain robust data pipelines to support the Finance and Product team's data needs.
    • Integrate data from sources including internally-generated product data, human-collected operational data, and publicly available blockchain data into useful models and views.
    • Utilize industry-standard data design patterns (Medallion Architecture) to simplify maintenance and enable adoption across the Internal Analytics team.
    • Build and support business intelligence models (Star Schema) for downstream reporting and analysis.

    Data Analysis and Reporting:

    • Analyze financial, product, and operational data to provide actionable insights and build understanding.
    • Develop and maintain dashboards and reports using SQL and Python-based data visualization tools.
    • Communicate findings in written and verbal formats, both synchronously and asynchronously, as required.

    Cross-Functional Collaboration and Data Integrity:

    • Work closely with the Finance and Product teams to define and document their requirements, and deliver solutions that meet their needs.
    • Ensure organization-wide visibility into business intelligence work with clear and consistent communication, employing basic project management skills to ensure timely delivery of commitments.
    • Build a deep understanding of our business systems and data pipelines to investigate anomalous or interesting data, and ensure quality and intelligibility of downstream reporting.


    Qualifications:

    • Bachelor’s degree in Analytics, Data Science, Finance, Computer Science, or related technical field, or equivalent practical experience.
    • 2+ years of experience in data engineering, data analysis, business intelligence, or a similar role.
    • Proficiency in SQL (experience in any dialect is acceptable, though we use Snowflake SQL).
    • Experience with ELT tools and data pipeline frameworks.
    • Experience with data warehouse/lakehouse architectures for business intelligence.
    • Strong analytical skills with the ability to integrate and interpret complex data sets.
    • Excellent communication skills and the ability to work collaboratively with cross-functional teams.

    Preferred Qualifications:

    • Experience with data visualization tools such as Tableau, Looker, Superset, Mode, Preset, Abacum or similar.
    • Knowledge of and demonstrated interest in blockchain and cryptocurrency markets.
    • Familiarity with dbt, Airflow, or other data transformation and pipelining tools.
    • Familiarity with financial modeling techniques.

    See more jobs at Flipside Crypto

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    10d

    Ingénieur en apprentissage machine/Ingénieure en apprentissage machine

    DevoteamNantes, France, Remote
    MLDevOPSOpenAILambdaagileterraformscalaairflowansiblescrumgitc++dockerkubernetesjenkinspythonAWS

    Devoteam is hiring a Remote Ingénieur en apprentissage machine/Ingénieure en apprentissage machine

    Description du poste

    Missions

    • Supporter le processus de développement machine learning de bout en bout pour concevoir, créer et gérer des logiciels reproductibles, testables et évolutifs.

    • Travailler sur la mise en place et l’utilisation de plateformes ML/IA/MLOps (telles que AWS SageMaker, Kubeflow, AWS Bedrock, AWS Titan) 

    • Apporter à nos clients des best practices en termes d’organisation, de développement, d’automatisation, de monitoring, de sécurité.

    • Expliquer et appliquer les best practices pour l’automatisation, le testing, le versioning, la reproductibilité et le monitoring de la solution IA déployée.

    • Encadrer et superviser les consultant(es) juniors i.e., peer code review, application des best practices.

    • Accompagner notre équipe commerciale sur la rédaction de propositions et des réunions d’avant-vente.

    • Participer au développement de notre communauté interne (REX, workshops, articles, hackerspace.

    • Participer au recrutement de nos futurs talents.

    Qualifications

    Compétences techniques 

    REQUIRED : 

    • Parler couramment Python, PySpark ou Scala Spark. Scikit-learn, MLlib, Tensorflow, Keras, PyTorch, LightGBM, XGBoost, Scikit-Learn et Spark (pour ne citer qu’eux)

    • Savoir implémenter des architectures de Containerisation (Docker / Containerd) et les environnements en Serverless et micro services utilisant Lambda, ECS, Kubernetes

    • Parfaitement opérationnel pour mettre en place des environnements DevOps et Infra As Code, et pratiquer les outils de MLOps

    • Une bonne partie des outils Git, GitLab CI, Jenkins, Ansible, Terraform, Kubernetes, ML Flow, Airflow ou leurs équivalents dans les environnements Cloud doivent faire partie de votre quotidien. 

    • Cloud AWS (AWS Bedrock, AWS Titan, OpenAI, AWS SageMaker / Kubeflow)

    • Méthode Agile / Scrum

    • Feature Store (n'importe quel fournisseur)

     

    NICE TO HAVE : 

    • Apache Airflow

    • AWS SageMaker / Kubeflow

    • Apache Spark

    • Méthode Agile / Scrum

    Evoluer au sein de la communauté

    Évoluer au sein de la Tribe Data, c’est être acteur dans la création d’un environnement stimulant dans lequel les consultants ne cessent de se tirer vers le haut, aussi bien en ce qui concerne les compétences techniques que les soft-skills. Mais ce n’est pas tout, c’est aussi des événements réguliers et des conversations slacks dédiées vous permettant de solliciter les communautés (data, AI/ML, DevOps, sécurité,...) dans leur ensemble !

    A côté de cela, vous avez l’opportunité d’être moteur dans le développement des différentes communautés internes (REX, workshops, articles, Podcasts…).

    Rémunération

    La rémunération fixe proposée pour le poste est en fonction de votre expérience et dans une fourchette de 46,5k et 52,5k.

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