OVERVIEW

About the Role

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

As a Senior Software Engineer in our Data Platform team, you will be the technical force that shapes our data infrastructure. You will design, develop, and maintain comprehensive access controls and governance frameworks to safeguard the integrity and privacy of our data. Your work will elevate the data utilization across several departments, enabling valuable insights, informed decision-making, and driving business value.

About the Team

The Data Platform team provides a robust and cutting edge platform to process petabytes of data daily using industry best practices. We work closely with Product/Data Science/ML teams to understand their needs and provide high quality solutions. The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Data Strategy and building the platform that Instacart data lake will be built upon. Instacart's technology is constantly changing and adapting. Some of the technologies you would use at Instacart include: Scala, Python, Postgres, Snowflake, DeltaLake, Iceberg, Clickhouse, Spark, DBT, Flink Kafka, Airflow If you have experience with these technologies, you will have the opportunity to dive deeper. If you haven't used these technologies you will have the chance to learn from the collective experience of our team.

About the Job

Your responsibilities will include:

• Designing, developing, and sustaining the comprehensive access controls and governance systems that improve the integrity and privacy of our data.
• Ensuring the reliability, scalability, and security of the data platform.
• Collaborating with various stakeholders and actively involve in the data infrastructure.

About you

Minimum Qualifications

We are looking for someone who:

• Has 5+ years of experience in software engineering.
• Exhibits an in-depth understanding of distributed systems, with proven experience with data processing technologies such as DBT and Airflow, and common web frameworks such as Rails.
• Proficiently uses SQL for writing and reviewing complex queries for data analysis and debugging.
• Can design for scale with the entire system in mind.
• Capably communicates and is comfortable seeking and receiving feedback.
• Possesses strong analytical and debugging skills.
• Takes a strong sense of ownership while working with large codebases and diverse suite of products.
• Embraces a collaborative mindset to partner with engineers, designers, and PMs from multiple teams to co-create impactful solutions while supporting system contributions.
• Communicates clearly, presents ideas well, and can influence key stakeholders at manager, director, and VP levels.

Preferred Qualifications

We would love it if you:

• Holds a Bachelor’s degree in Computer Science, Software Engineering, or a related field, or can demonstrate equivalent industry experience (4+ years).
• Have prior work experience in Data Platforms.
• Hold experience with big data technologies such as Spark, Hadoop, Flink, Hive, or Kafka, and with both streaming and batching data pipelines.
• Have proven experience with distributed system designs.
• Possess strong general programming and algorithm skills.
• Show strong attention to detail and accuracy in your implementation.
• Have a strong experience writing complex and optimized SQL queries.
• Appreciate a data-driven mindset.

OVERVIEW

ABOUT THE ROLE

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

ABOUT THE TEAM

The Data Platform team provides a robust and cutting edge platform to process petabytes of data daily using industry best practices. We work closely with Product/Data Science/ML teams to understand their needs and provide high quality solutions.The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution.Your input will be critical for driving the Data Strategy and building the platform that Instacart data lake will be built upon.Instacart's technology is constantly changing and adapting. Some of the technologies you would use at Instacart include:Scala, Python, Postgres, Snowflake, DeltaLake, Iceberg, Clickhouse, Spark, DBT, Flink Kafka, Airflow

If you have experience with these technologies, you will have the opportunity to dive deeper. If you haven't used these technologies you will have the chance to learn from the collective experience of our team.

ABOUT THE JOB

• You will work closely with other teams to understand their main pain points and translate them into self-serve and reliable solutions.
• You are expected to mentor other team members and be a champion of engineering excellence.
• You will be part of a small team, with a large amount of ownership and autonomy for managing things directly.
• You will have the freedom to suggest and drive organization-wide initiatives.

ABOUT YOU

MINIMUM QUALIFICATIONS

• Self-motivation and an enjoyment for a startup environment
• A strong sense of ownership
• Strong knowledge of common data infra technologies (Python, Scala, Kafka, Airflow, Spark, Iceberg, Delta Lake) in a production environment
• Strong knowledge of common industry data stores or warehouses (Postgres, ElasticSearch, Cassandra, Dynamo, Snowflake)
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions
• Experience working with a large codebase on a cross functional team.
• Strong knowledge of SQL
• 10+ years of working experience in a similar field/environment

PREFERRED QUALIFICATIONS

Bachelor’s degree in Computer Science, computer engineering, electrical engineering ORequivalent work experience

What this job can offer you

This is an exciting time to join the growing Data Team at Remote, which today consists of over 15 Data Engineers, Analytics Engineers and Data Analysts spread across 10+ countries. Throughout the team we're focused on driving business value through impactful decision making. We're in a transformative period where we're laying the foundations for scalable company growth across our data platform, which truly serves every part of the Remote business. This team would be a great fit for anyone who loves working collaboratively on challenging data problems, and making an impact with their work. We're using a variety of modern data tooling on the AWS platform, such as Snowflake and dbt, with SQL and python being extensively employed.

This is an exciting time to join Remote and make a personal difference in the global employment space as a Senior Data Engineer, joining our Data team, composed of Data Analysts and Data Engineers. We support the decision making and operational reporting needs by being able to translate data into actionable insights to non-data professionals at Remote. We’re mainly using SQL, Python, Meltano, Airflow, Redshift, Metabase and Retool.

What you bring

• Experience in data engineering; high-growth tech company experience is a plus
• Strong experience with building data extraction/transformation pipelines (e.g. Meltano, Airbyte) and orchestration platforms (e.g. Airflow)
• Strong experience in working with SQL, data warehouses (e.g. Redshift) and data transformation workflows (e.g. dbt)
• Solid experience using CI/CD (e.g. Gitlab, Github, Jenkins)
• Experience with data visualization tools (e.g. Metabase) is considered a plus
• A self-starter mentality and the ability to thrive in an unstructured and fast-paced environment
• You have strong collaboration skills and enjoy mentoring
• You are a kind, empathetic, and patient person
• Writes and speaks fluent English
• It's not required to have experience working remotely, but considered a plus

Key Responsibilities

• Playing a key role in Data Platform Development & Maintenance:
  • Managing and maintaining the organization's data platform, ensuring its stability, scalability, and performance.
  • Collaboration with cross-functional teams to understand their data requirements and optimize data storage and access, while protecting data integrity and privacy.
  • Development and testing architectures that enable data extraction and transformation to serve business needs.
• Improving further our Data Pipeline & Monitoring Systems:
  • Designing, developing, and deploying efficient Extract, Load, Transform (ELT) processes to acquire and integrate data from various sources into the data platform.
  • Identifying, evaluating, and implementing tools and technologies to improve ELT pipeline performance and reliability.
  • Ensuring data quality and consistency by implementing data validation and cleansing techniques.
  • Implementing monitoring solutions to track the health and performance of data pipelines and identify and resolve issues proactively.
  • Conducting regular performance tuning and optimization of data pipelines to meet SLAs and scalability requirements.
• Dig deep into DBT Modelling:
  • Designing, developing, and maintaining DBT (Data Build Tool) models for data transformation and analysis.
  • Collaboration with Data Analysts to understand their reporting and analysis needs and translate them into DBT models, making sure they respect internal conventions and best practices.
• Driving our Culture of Documentation:
  • Creating and maintaining technical documentation, including data dictionaries, process flows, and architectural diagrams.
  • Collaborating with cross-functional teams, including Data Analysts, SREs (Site Reliability Engineers) and Software Engineers, to understand their data requirements and deliver effective data solutions.
  • Sharing knowledge and offer mentorship, providing guidance and advice to peers and colleagues, creating an environment that empowers collective growth

Practicals

• You'll report to: Engineering Manager - Data
• Team: Data 
• Location:For this position we welcome everyone to apply, but we will prioritise applications from the following locations as we encourage our teams to diversify; Vietnam, Indonesia, Taiwan and South-Korea
• Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equitypayalong with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce.  We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The base salary range for this full-time position is $53,500 USD to $131,300 USD. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

Application process

1. Interview with recruiter
2. Interview with future manager
3. Async exercise stage 
4. Interview with team members

#LI-DP

​​About the Role:

We're looking for an experienced Data Architectto join our Data Platform Engineering team. Our team is responsible for enabling Hims & Hers business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, and Engineering) by providing a platform with a rich set of data and tools to leverage. 

As a Data Architect, you will focus on the big picture of an organization’s data strategy. You will work closely with other architects, engineering, product, analytics, data science, and DevOps leaders to align the data architecture with the overall business goals and objectives.

Your primary responsibility is to develop a cohesive data architecture that supports the organization’s long-term vision. You design efficient data storage structures, data models, standards, and optimize data retrieval for reporting, analytics, and AI purposes.

You Will

• Collaborate with cross-functional stakeholders including product management, engineering, analytics, and key business representatives to align the architecture, vision and roadmap with stakeholder needs
• Establish guidelines, controls, and processes to make data available for developing scalable data-driven solutions for Analytics and AI
• Create and set best practices for data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs
• Design and develop scalable, high-performance data architecture solutions that supports both the consumer side of the business as well as analytic use cases
• Implement security measures to safeguard sensitive data from unauthorized access, ensuring data privacy, and compliance with relevant regulations
• Plan and oversee large-scale and complex technical migrations to new data systems and platforms
• Drive continuous data transformation to minimize technical debt
• Display strong thought leadership in pursuit of modern data architecture principles and technology modernization
• Define and lead technology proof of concepts to ensure feasibility of new data technology solutions
• Provide technical leadership and mentorship to the members of the team
• Create comprehensive documentation for design, and processes to support ongoing maintenance and knowledge sharing
• Conduct design reviews to ensure that proposed solutions address platform and stakeholder pain points, as well as meet business, and technical requirements, with alignment to standards and best practices
• Prepare and deliver efficient communications to convey architectural direction and how it aligns with company strategy. Be able to explain the architectural vision and implementation to executives

You Have

• Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership
• Proven expertise in designing data platforms for large-scale data and diverse data architectures, including warehouses, lakehouses, and integrated data stores.
• Proficiency in a variety of technologies such as: SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper
• Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR)
• Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives
• Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data
• Analytical and problem-solving skills to address data-related challenges and find optimal solutions
• Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced and ever changing environment

Nice to Have

• Experience working in healthcare or in a B2C company

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

Today, CLEAR is well-known as a leader in digital and biometric identification, reducing friction for our members wherever an ID check is needed. We’re looking for an experienced Senior Software Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Senior Software Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. 

A brief highlight of our tech stack:

• Python / Postgres / Snowflake / Airflow / Databricks / Spark / dbt
• AWS 

What you'll do:

• Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner 
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Develop and maintain data pipelines to collect, clean, and transform data. Owning end to end data product from ingestion to visualization
• Develop and implement data analytics models
• Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems
• Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR

 What you're great at:

• 6+ years of data engineering experience
• Working with cloud-based application development, and be fluent in at least a few of: 
  • Cloud services providers like AWS
  • Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc
  • Big data tools like Spark, Kafka, Snowflake, Databricks, etc
  • Collaboration, integration, and deployment tools like Github, Argo, and Jenkins 
  • Data visualization tool like Looker, Tableau, etc
• Articulating technical concepts to a mixed audience of technical and non-technical stakeholders
• Collaborating and mentoring less experienced members of the team
• Comfort with ambiguity 
• Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. The base salary range for this role is $175,000-$215,000, depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units.

About CLEAR

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 15+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

ABOUT THE ROLE

Are you ready to take your development skills to the next level? We’re looking for a Senior Software Engineer to join our Ads team. You’ll play a critical role in the evolution of our Ads suite and help build world-class reporting solutions across various platforms, ensuring that advertisers and retailers receive timely, accurate, and actionable data insights. By working closely with Product Designers, Product Managers, Data Scientists, Machine Learning Engineers, and other cross-functional partners, you’ll contribute to the advancement of our Ads suite and guarantee a seamless flow of data to our users.

The Instacart Ads team is at the forefront of refining our Ads products and supporting infrastructure, so your work will directly enhance our capability to process petabyte-scale data and deliver reports essential for billing, strategic decision-making, and partner management.

Our products are used by millions of people every year. To meet–and exceed–expectations we are rapidly improving and modernizing our ads platform, helping raise the quality bar for our products across the entire organization. Sound exciting? Keep reading.

ABOUT THE TEAM

The Ads team is a diverse group of spirited and highly-dedicated engineers focused on crafting and delivering comprehensive reporting solutions to our advertisers and retailers.

Our team thrives on dynamic challenges, and we take pride in developing and maintaining scalable and fault-tolerant metrics delivery systems. We've embraced a culture of open and candid collaboration where everyone's views matter, allowing us to continuously innovate and make substantial impact to the digital advertising industry through our work.

Our tech stack includes but is not limited to Rails, Go, DBT, Airflow, Scala, Apache Spark, Databricks, Delta Lake, Snowflake, Python and Terraform. We believe in constantly learning, growing and adopting the most efficient practices that enable us to deliver quality data services to our stakeholders. If you're a detective at heart, love solving complex problems, and are passionate about the intersection of data and technology, you'll fit right in!

Overview of the Ads teams that are currently hiring: 

• Ads Measurement & Data: The Ads Measurement & Data team is focused on developing scalable and fault-tolerant data processing systems and delivering comprehensive reporting solutions to our advertisers and retailers. 

ABOUT THE JOB

We believe that high-quality data is essential for any business organization, as such we are looking for a strong software engineer excited to raise our efficiency, quality and scalability bar. You will be able to have extensive ownership and the ability to help set best practices and contribute to product and infrastructure features. 

As a craft leader, you'll be responsible for contributing to the vision, strategy and development of our multi-platform reporting system that is efficient, scalable, and meets diverse user needs. You will advocate for data quality, correctness, scalability and latency standards to ensure consistency in how we enable data-driven decisions and features across the organization. 

You will also be proactive in spearheading new initiatives, coding and documenting components, writing and reviewing system design documents and partnering with other teams and functions to gather and understand our customer's requirements. You will think and plan strategically for short and long term initiatives to continue shaping our platform and products.

MINIMUM QUALIFICATIONS

• Bachelor's degree or higher in Computer Science, Software Engineering, or a related field, or equivalent proven industry experience (4+ years).
• 5+ years of experience in software engineering.
• Comprehensive understanding of distributed systems, proven experience with data processing technologies such as DBT and Airflow and common web frameworks such as Rails.
• Highly proficient with SQL, capable of writing and reviewing complex queries for data analysis and debugging.
• You can design for scale with the entire system in mind.
• Solid communicator, comfortable seeking and receiving feedback.
• Strong analytical and debugging skills.
• Strong sense of ownership working with a large codebase and diverse suite of products.
• A collaborative mindset to be able to partner with engineers, designers and PM's from multiple teams to co-create impactful solutions while supporting system contributions.
• Strong organizational skills with the ability to communicate and present ideas clearly and influence key stakeholders at the manager, director, and VP level.

PREFERRED QUALIFICATIONS

• Prior work experience in the digital advertising industry.
• Experience with big data technologies such as Spark, Hadoop, Flink, Hive or Kafka, and with both streaming and batching data pipelines.
• Proven experience with distributed system design.
• Strong general programming and algorithm skills.
• Strong attention to detail and accuracy in the implementation, keen eye for edge cases and code reviews. 
• Data driven mindset.

What we are looking for:

We are seeking a Senior Machine Learning Engineer who is eager to make a significant impact. In this role, you'll get the opportunity to leverage your technical expertise and problem-solving skills to solve some of the hardest data problems in the hobby. Your primary focus in this role will be on enhancing and optimizing our pricing engine to support strategic business goals. Our ideal candidate is passionate about trading cards, has a strong sense of ownership, and enjoys challenges. At Alt, data is core to everything we do and is a differentiator for our customers. The team’s scope covers data pipeline development, search infrastructure, web scraping, detection algorithms, internal toolings and data quality. We give our engineers a lot of individual responsibility and autonomy, so your ability to make good trade-offs and exercise good judgment is essential.

The impact you will make:

• Partner with engineers, and cross-functional stakeholders to contribute to all phases of algorithm development including: ideation, prototyping, design, and production
• Build, iterate, productionize, and own Alt's valuation models
• Leverage background in pricing strategies and models to develop innovative pricing solutions
• Design and implement scalable, reliable, and maintainable machine learning systems
• Partner with product to understand customer requirements and prioritize model features

What you bring to the table:

• Experience: 5+ years of experience in software development, with a proven track record of developing and deploying models in production. Experience with pricing models preferred.
• Technical Skills: Proficiency in programming languages and tools such as Python, AWS, Postgres, Airflow, Datadog, and JavaScript.
• Problem-Solving: A knack for solving tough problems and a drive to take ownership of your work.
• Communication: Effective communication skills with the ability to ship solutions quickly.
• Product Focus: Excellent product instincts, with a user-first approach when designing technical solutions.
• Team Player: A collaborative mindset that helps elevate the performance of those around you.
• Industry Knowledge: Knowledge of the sports/trading card industry is a plus.

What you will get from us:

• Ground floor opportunity as an early member of the Alt team; you’ll directly shape the direction of our company. The opportunities for growth are truly limitless.
• An inclusive company culture that is being built intentionally to foster an environment that supports and engages talent in their current and future endeavors.
• $100/month work-from-home stipend
• $200/month wellness stipend
• WeWork office Stipend
• 401(k) retirement benefits
• Flexible vacation policy
• Generous paid parental leave
• Competitive healthcare benefits, including HSA, for you and your dependent(s)

Alt's compensation package includes a competitive base salary benchmarked against real-time market data, as well as equity for all full-time roles. We want all full-time employees to be invested in Alt and to be able to take advantage of that investment, so our equity grants include a 10-year exercise window. The base salary range for this role is: $194,000 - $210,000. Offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.

Company Overview: 

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using leading edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health insurance plans covering over 15 million people, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work, Top 5 LinkedIn™ Startup, TripleTree iAward, multiple KLAS Research Points of Light, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

Opportunity Overview: 

You will be a key leader in designing and implementing our data architecture, which is central to our value proposition and crucial to our company's success. As a Data Architect at Cohere, you will work with a high degree of autonomy to design and optimize data warehouses, ensure data governance, and enable data-driven decision-making across the business. You will partner closely with data, product, and engineering teams to solve complex problems and deliver scalable solutions.

Last but not least, People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring a supportive, growth-oriented environment for everyone.

What you will do:

• Lead the design, implementation, and optimization of our data warehouse and governance policies to ensure scalability and compliance with healthcare regulations.
• Work closely with stakeholders to understand data requirements and deliver actionable insights that can be efficiently productized.
• Design, develop, operationalize, and maintain the data models, both logic, physical and conceptual to support various business use cases.
• Collaborate with cross-functional teams to define data architecture standards and best practices.
• Ensure data quality, integrity, and security across all data sources and systems.
• Provide technical leadership and mentorship to data engineering and management teams.
• Create and manage data governance frameworks, including data catalogs, lineage, and metadata management.
• Stay current with emerging data technologies and evaluate their potential impact on our architecture.

Your background & requirements:

• 4+ years of experience leading data architecture initiatives in a fast-paced, agile environment.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field with at least 12 years of relevant experience.
• Proven track record of designing and implementing scalable data warehouses and governance policies.
• Expertise in SQL and proficiency in data modeling and design. Experience having integrated NoSQL systems as part of a broader data architecture.
• Hands-on experience with ETL processes, data integration, and data quality frameworks.
• Experience with data governance tools and practices.
• Experience building data platforms using python, AWS, Airflow, dbt, and data warehouses.
• Familiarity with healthcare data standards such as HL7, FHIR, and CCDA.
• Strong understanding of data privacy and security regulations, including HIPAA.
• Experience with business intelligence tools like Tableau or PowerBI.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills. 

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.

We can’t wait to learn more about you and meet you at Cohere Health!

The salary range for this position is $160,000 to $185,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

#LI-Remote

#BI-Remote

We're looking for a savvy and experienced Senior Data Engineer to join the Data Platform Engineering team at Hims. As a Senior Data Engineer, you will work with the analytics engineers, product managers, engineers, security, DevOps, analytics, and machine learning teams to build a data platform that backs the self-service analytics, machine learning models, and data products serving Million+ Hims & Hers subscribers.

You Will:

• Architect and develop data pipelines to optimize performance, quality, and scalability.
• Build, maintain & operate scalable, performant, and containerized infrastructure required for optimal extraction, transformation, and loading of data from various data sources.
• Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake.
• Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance 
• Orchestrate sophisticated data flow patterns across a variety of disparate tooling.
• Support analytics engineers, data analysts, and business partners in building tools and data marts that enable self-service analytics.
• Partner with the rest of the Data Platform team to set best practices and ensure the execution of them.
• Partner with the analytics engineers to ensure the performance and reliability of our data sources.
• Partner with machine learning engineers to deploy predictive models.
• Partner with the legal and security teams to build frameworks and implement data compliance and security policies.
• Partner with DevOps to build IaC and CI/CD pipelines.
• Support code versioning and code deployments for data Pipelines.

You Have:

• 8+ years of professional experience designing, creating and maintaining scalable data pipelines using Python, API calls, SQL, and scripting languages.
• Demonstrated experience writing clean, efficient & well-documented Python code and are willing to become effective in other languages as needed.
• Demonstrated experience writing complex, highly optimized SQL queries across large data sets.
• Experience working with customer behavior data. 
• Experience with Javascript, event tracking tools like GTM, tools like Google Analytics, Amplitude and CRM tools. 
• Experience with cloud technologies such as AWS and/or Google Cloud Platform.
• Experience with serverless architecture (Google Cloud Functions, AWS Lambda).
• Experience with IaC technologies like Terraform.
• Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres.
• Experience building event streaming pipelines using Kafka/Confluent Kafka.
• Experience with modern data stack like Airflow/Astronomer, Fivetran, Tableau/Looker.
• Experience with containers and container orchestration tools such as Docker or Kubernetes.
• Experience with Machine Learning & MLOps.
• Experience with CI/CD (Jenkins, GitHub Actions, Circle CI).
• Thorough understanding of SDLC and Agile frameworks.
• Project management skills and a demonstrated ability to work autonomously.

Nice to Have:

• Experience building data models using dbt
• Experience designing and developing systems with desired SLAs and data quality metrics.
• Experience with microservice architecture.
• Experience architecting an enterprise-grade data platform.

We're looking for a savvy and experienced Senior Data Engineer to join the Data Platform Engineering team at Hims. As a Senior Data Engineer, you will work with the analytics engineers, product managers, engineers, security, DevOps, analytics, and machine learning teams to build a data platform that backs the self-service analytics, machine learning models, and data products serving over a million Hims & Hers users.

You Will:

• Architect and develop data pipelines to optimize performance, quality, and scalability
• Build, maintain & operate scalable, performant, and containerized infrastructure required for optimal extraction, transformation, and loading of data from various data sources
• Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake
• Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance
• Orchestrate sophisticated data flow patterns across a variety of disparate tooling
• Support analytics engineers, data analysts, and business partners in building tools and data marts that enable self-service analytics
• Partner with the rest of the Data Platform team to set best practices and ensure the execution of them
• Partner with the analytics engineers to ensure the performance and reliability of our data sources
• Partner with machine learning engineers to deploy predictive models
• Partner with the legal and security teams to build frameworks and implement data compliance and security policies
• Partner with DevOps to build IaC and CI/CD pipelines
• Support code versioning and code deployments for data Pipelines

You Have:

• 8+ years of professional experience designing, creating and maintaining scalable data pipelines using Python, API calls, SQL, and scripting languages
• Demonstrated experience writing clean, efficient & well-documented Python code and are willing to become effective in other languages as needed
• Demonstrated experience writing complex, highly optimized SQL queries across large data sets
• Experience with cloud technologies such as AWS and/or Google Cloud Platform
• Experience building event streaming pipelines using Kafka/Confluent Kafka
• Experience with IaC technologies like Terraform
• Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres
• Experience with Databricks platform
• Experience with modern data stack like Airflow/Astronomer, Databricks, dbt, Fivetran, Confluent, Tableau/Looker
• Experience with containers and container orchestration tools such as Docker or Kubernetes
• Experience with Machine Learning & MLOps
• Experience with CI/CD (Jenkins, GitHub Actions, Circle CI)
• Thorough understanding of SDLC and Agile frameworks
• Project management skills and a demonstrated ability to work autonomously

Nice to Have:

• Experience building data models using dbt
• Experience with Javascript and event tracking tools like GTM
• Experience designing and developing systems with desired SLAs and data quality metrics
• Experience with microservice architecture
• Experience architecting an enterprise-grade data platform

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

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.

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