About SonderMind

At SonderMind, we know that therapy works. SonderMind provides accessible, personalized mental healthcare that produces high-quality outcomes for patients. SonderMind's individualized approach to care starts with using innovative technology to help people not just find a therapist, but find the right, in-network therapist for them, should they choose to use their insurance. From there, SonderMind's clinicians are committed to delivering best-in-class care to all patients by focusing on high-quality clinical outcomes. To enable our clinicians to thrive, SonderMind defines care expectations while providing tools such as clinical note-taking, secure telehealth capabilities, outcome measurement, messaging, and direct booking.

To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter. 

About the Role

In this role, you will be responsible for designing, building, and managing the information infrastructure systems used to collect, store, process, and distribute production and reporting data. This role will work closely with software and data engineers, as well as data scientists, to deploy Applied Science services. This role will also interact with business analysts and technical marketing teams to ensure they have the data necessary to complete their analyses and campaigns.

What you will do 

• Strategically design, construct, install, test, and maintain highly scalable data management systems
• Develop and maintain databases, data processing procedures, and pipelines
• Integrate new data management technologies and software engineering tools into existing structures
• Develop processes for data mining, data modeling, and data production
• Translate complex functional and technical requirements into detailed architecture, design, and high-performing software and applications
• Create custom software components and analytics applications
• Troubleshoot data-related issues and perform root cause analysis to resolve them
• Manage overall pipeline orchestration
• Optimize data warehouse performance

What does success look like?

Success in this role will be gauged by the seamless and efficient operations of data infrastructure. This includes minimal downtime, accurate and timely data delivery and the successful implementation of new technologies and tools. The individual will have demonstrated their ability to collaborate effectively to define solutions with both technical and non-technical team members across data science, engineering, product and our core business functions. They will have made significant contributions to improving our data systems, whether through optimizing existing processes or developing innovative new solutions. Ultimately, their work will enable more informed and effective decision-making across the organization.

Who You Are 

Skills, experience, and education that is needed for this person to be able to succeed in this role 

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Minimum 4 years experience as a Data Engineer or in a similar role
• Proficient with scripting and programming languages (Python, Java, Scala, etc.)
• In-depth knowledge of SQL and other database related technologies
• Experience with Snowflake, DBT, BigQuery, Fivetran, Segment, etc.
• Experience with AWS cloud services (S3, RDS, Redshift, etc.)
• Experience with data pipeline and workflow management tools such as Airflow
• Backend Development experience with the following:
• REST API design using web frameworks such as FastAPI, Flask
• Data modeling for microservices, especially using NoSQL databases like MongoDB
• CI/CD pipelines (Gitlab preferred) and microservices deployment to AWS cloud
• Docker, Kubernetes, Helm Charts, Terraform
• Developing unit tests for microservices using testing frameworks like pytest
• Strong negotiation and interpersonal skills: written, verbal, analytical
• Motivated and influential – proactive with the ability to adhere to deadlines; work to “get the job done” in a fast-paced environment
• Self-starter with the ability to multi-task

Our Benefits 

The anticipated salary range for this role will be $132,000-165,000.

As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people’s careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work.

Our benefits include:

• A commitment to fostering flexible hybrid work
• A generous PTO policy with a minimum of three weeks off per year
• Free therapy coverage benefits to ensure our employees have access to the care they need (must be enrolled in our medical plans to participate)
• Competitive Medical, Dental, and Vision coverage with plans to meet every need, including HSA ($1,100 company contribution) and FSA options
• Employer-paid short-term, long-term disability, life & AD&D to cover life's unexpected events. Not only that, we also cover the difference in salary for up to seven (7) weeks of short-term disability leave (after the required waiting period) should you need to use it.
• Eight weeks of paid Parental Leave (if the parent also qualifies for STD, this benefit is in addition which allows between 8-16 weeks of paid leave)
• 401K retirement plan with 100% matching which immediately vests on up to 4% of base salary
• Travel to Denver 1x a year for annual Shift gathering
• Fourteen (14) company holidays
• Company Shutdown between Christmas and New Years
• Supplemental life insurance, pet insurance coverage, commuter benefits and more!

Application Deadline

This position will be an ongoing recruitment process and will be open until filled.

Equal Opportunity 
SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.

About the Role 

We are actively seeking a highly skilled MarTech Engineer to become a pivotal member of our cross-functional team, dedicated to propelling Instacart's growth through our Paid Marketing channels—one of the most substantial growth levers within our organization. This role offers an exciting opportunity to address intricate challenges with innovative solutions that not only enhance the user experience but also drive transformative business outcomes. As a MarTech Engineer, your contributions will play a crucial role in optimizing the efficiency and effectiveness of our Paid Marketing efforts, encompassing a diverse array of channels such as Paid Social, Display, SEM, Online Video, Linear Television, and Streaming Audio.

Your work will directly impact the scalability and performance of these channels, enabling us to reach broader audiences and amplify Instacart's market presence. By leveraging cutting-edge technology and collaborating with various departments, you will help create strategies that deliver measurable results and foster sustained growth. If you are passionate about making a tangible impact through technology and marketing innovation, we invite you to join our team and be part of redefining the grocery industry.

About the Team

This role will be positioned within the marketing organization, embedded directly into our Cross Channel Integrations team – the technical arm of Instacart Marketing. The Cross Channel Integrations  team is composed of forward-thinking marketing technologists, strategists and engineers committed to developing solutions that elevate Instacart's marketing channels. 

Working at the intersection of marketing and engineering, you will engage in frequent and intensive collaboration with our core engineering team, fostering a dynamic environment where technical insights and innovative solutions are readily exchanged. This integrated model empowers you to rapidly address and execute on marketing priorities while ensuring that you have full access to the comprehensive suite of tech resources, tools, and development opportunities available within Instacart. 

About the Job 

• Building and maintaining data pipelines using Python and Snowflake: Design and oversee efficient data pipelines that handle extensive data processing, ensuring seamless data flow and troubleshooting issues as they arise.
• Integrating and extracting data from multiple sources such as Google Analytics and Snowflake: Manage ETL processes for integrating diverse data sources, ensuring accurate and timely data flow into centralized systems to support decision-making.
• Automating tasks like data retrieval and report generation: Develop scripts and workflows to automate data retrieval and report generation, utilizing APIs and scheduling tools to streamline processes and minimize manual effort.
• Leading DBT initiatives to enhance model efficiency: Spearhead the development and optimization of data models using DBT, ensuring scalability and maintainability, while documenting best practices and providing guidance to the team.
• Harnessing Airflow for automation tasks and configuring manual runs: Use Apache Airflow to automate and schedule complex workflows, ensuring efficient and accurate execution of data-related tasks.
• Collaborating with marketing teams utilizing your marketing data experience: Work closely with marketing to translate data into actionable insights, providing analytical support and enhancing data-driven strategies.
• Works with multiple third-party channels to streamline Ad conversions: Able to work closely with stakeholders across third-party channel providers and debug issues when they arise.
• Collaborating with Marketing to launch new Paid Listing Ads across channels: Working with various channels (Snap, Google, Facebook, etc) on managing and pushing data to multiple channels and product lists for various product feed Ad consumption
• Writing advanced SQL queries and setting up data marts: Create complex SQL queries and establish data marts, providing easy access to clean and structured data for marketing analytics.

About You

Minimum Qualifications

• Python Expertise: Daily use and extensive knowledge of Python for data integration, automation, and more.
• Snowflake Proficiency: Regular use for creating data pipelines, performing admin tasks, and managing roles.
• Google Analytics: Experience with Google Tag Manager and generating daily reports.
• DBT Leadership: Leading initiatives, model creation, and process documentation.
• Airflow Experience: Daily automation and configuration of tasks.
• Marketing Experience: Ability to work with marketing data and collaborate effectively.SQL and ETL Skills: Advanced proficiency in SQL and experience with ETL processes across Snowflake, Redshift, and PostgreSQL.
• Collaboration Skills: Proven ability to work with various stakeholders including product, sales, and finance teams.

Preferred Qualifications

• Basic understanding of digital marketing and previous experience working with marketing teams.
• Possesses general familiarity with performance marketing KPIs (ROAS, LTV, CAC, CPA, etc).
• Understanding of Marketing event channel operations, and knowledge of launching new channels through the above-mentioned technologies is appreciated.
• Having previous experience working with third-party analytics/tracking platforms
• Having previous experience managing Google Tag Manager for a Marketing or Advertising organization
• Past knowledge within a Data Platform Engineering organization or Data Engineering role
• Has previous experience on an on-call rotation

Overview

At Instacart, our mission is to create a world where everyone has access to the food they love and more time to enjoy it together. Millions of customers every year use Instacart to buy their groceries online, and the Data Engineering team is building the critical data pipelines that underpin all of the myriad of ways that data is used across Instacart to support our customers and partners.

About the Role - 

This is a general posting for multiple Senior Data Engineer roles open across our 4-sided marketplace. You’ll get the chance to learn about the different problems Data Engineering teams solve as you go through the process. Towards the end of your process, we’ll do a team-matching exercise to determine which of the open roles/teams you’ll join. You can find a blurb on each team at the bottom of this page. 

About the Team -

You will be joining a growing data engineering team and will tackle some of the most challenging and impactful problems that are transforming how people buy groceries every day. You will be embedded within a data-driven team as a trusted partner in uncovering barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven engineer who can hit the ground running to ultimately shape the landscape of data across the entire organization.

About the Job 

• You will be part of a team with a large amount of ownership and autonomy.
• Large scope for company-level impact working on financial data.
• You will work closely with engineers and both internal and external stakeholders, owning a large part of the process from problem understanding to shipping the solution.
• You will ship high quality, scalable and robust solutions with a sense of urgency.
• You will have the freedom to suggest and drive organization-wide initiatives.

About You

Minimum Qualifications

• 6+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines.
• Expert with SQL and  knowledge of Python.
• Experience building high quality ETL/ELT pipelines.
• Past experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Experience building data pipelines for accounting/billing purposes.
• Experience with cloud-based data technologies such as Snowflake, Databricks, Trino/Presto, or similar.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• A strong sense of ownership, and 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.

Preferred Qualifications

• Bachelor’s degree in Computer Science, computer engineering, electrical engineering OR equivalent work experience.
• Experience with Snowflake, dbt (data build tool) and Airflow
• Experience with data quality monitoring/observability, either using custom frameworks or tools like Great Expectations, Monte Carlo etc.

Open Roles

Finance Data Engineering 

About the Role -

The Finance data engineering team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart’s products. This role is an exciting opportunity to join a key team shaping the post-IPO financial data vision and roadmap for the company.

About the Team -

Finance data engineering is part of the Infrastructure Engineering pillar, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. Our team collaborates closely with product teams to capture critical data needed for financial use cases.

Growth Data and Marketing

About the Role - 

The Growth Data and Marketing team is an integral piece of Growth at Instacart, and is directly responsible for modeling the Paid Marketing world to ensure accurate and timely data. This role will be pivotal in building and maintaining data infrastructure that supports the performance and optimization of paid marketing campaigns. You will be at the center of driving data-driven decisions for paid marketing strategies.

About the Team -

The Growth Data and Marketing team is part of the Growth Systems org, working closely with Frontend and Backend Engineering, Data Scientists, and Machine Learning teams to drive and support key data decisions to dictate product, partnerships. Our team works closely with product and marketing teams to ensure the right data is used at the right time to drive key business metrics. 

About the Role

We are looking for an exceptional Senior Business Intelligence Analyst to help build and manage robust data models, leverage data visualization tools to create dashboards, and partner closely with cross functional teams to design data solutions needed to enable financial reporting and operations. 

About the Team

You will be joining the Financial Systems Analytics team, which sits within the Finance department at Instacart. This team is responsible for ensuring financial data is accessible, complete, accurate, and timely for downstream consumers. As part of the team, you will be a key contributor in enabling financial data reporting, analysis, and other critical business operations within Instacart.  

About the Job

• Build and regularly maintain data pipelines and models critical to Instacart’s business operation, including those used for financial reporting and analysis 
• Partner closely with Accounting, Strategic Finance, Data Science, and other teams across the company to understand their most complex problems and develop effective data solutions, including definition and development of supporting data models and architecture
• Contribute to the optimization, documentation, testing, and tooling efforts aimed at improving data quality and empowering data consumers across the organization
• Regularly communicate progress, risks, and completion of projects with stakeholders, teammates, and management
• Work closely with the Product, Data Engineering, and Business Development teams to stay current on the latest product rollouts and their data and financial impacts
• Promote and drive a self-service data culture by developing self-service data models, building easy-to-use tools and dashboards, and teaching business users how to use them

About You

Minimum Qualifications

• 5+ years of hands-on experience in BI, Data Science, or Data engineering
• Bachelor’s Degree or equivalent
• AdvancedSQL experience and dashboard building
• Highly effective written and verbal communication skills
• Proven ability to prioritize work and deliver finished products on tight deadlines
• Ability to communicate and coordinate with cross-functional teams, gather information, perform root cause analysis, and recommend solutions to business problems
• Positive attitude and enthusiasm for Instacart, your team, partners, and stakeholders

Preferred Qualifications

• Familiarity with: Snowflake/Databricks/BigQuery or similar data warehouses, DBT/Apache Airflow or similar orchestration tools, Github, and Jira 
• Familiarity with Visualization Tools: Mode, Tableau, or similar
• Understanding of financial concepts, common accounting practices, and system solutions
• Exposure to SOX compliance best practices, including practical applications and experience with ITGCs

While this job can be worked almost entirely remotely, hiring is focused on the following greater metro areas (~50 miles):

• Austin, TX
• Atlanta, GA
• Chicago, IL
• Denver, CO
• New York City
• Seattle, WA
• Washington, DC
• Mexico City, MX

About the Role

An engineering role at Cloudflare provides an opportunity to address some big challenges, at scale.  We believe that with our talented team, we can solve some of the biggest security, reliability and performance problems facing the Internet. Just how big?  

• We have in excess of 15 Terabits of network transit capacity
• We operate 300+ Points-of-presence around the world
• We serve more traffic than Twitter, Amazon, Apple, Instagram, Bing, & Wikipediacombined
• Anytime we push code, it immediately affects over 200 million internet users
• Every day, up to 20,000 new customers sign-up for Cloudflare service
• Every week, the average Internet user touches us more than 500 times

We are looking for talented Software Engineers to build and develop the platform which makes Cloudflare customers place their trust in us.  Our Software Engineers come from a variety of technical backgrounds and have built up their knowledge working in different environments. But the common factors across all of our reliability-focused engineers include a passion for automation, scalability, and operational excellence.  Our Infrastructure Software Systems and Automation team focuses on the automation to scale our infrastructure.

Our team is well-funded and focused on building an extraordinary company.  This is a superb opportunity to join a high-performing team and scale our high-growth network as Cloudflare’s business grows.  You will build tools to constantly improve our scale and speed of deployment.  You will nurture a passion for an “automate everything” approach that makes systems failure-resistant and ready-to-scale.   

Cloudflare Software Engineers focus on automating our infrastructure installations and decommissions at scale.  We enable our Data Centre Engineering teams by allowing them to install new data centers, replace servers and networking in existing data centers as quickly and efficiently as possible while not impacting existing infrastructure and customer services.  While our focus is on automation and accurate asset tracking, there is an element of ongoing operational support of Data Center Engineers and other teams.  We also review upcoming hardware changes and update automation and configuration management to cater to these advances.

Many of our Software Engineers have had the opportunity to work at multiple offices on interim and long-term project assignments. The ideal Software Engineering candidate has strong knowledge of Python and Golang, with Rust an advantage. As we are automating server and networking installations, knowledge of Linux, Hardware and Networking is ideal.  We prefer to hire experienced candidates; however raw skill trumps experience and we welcome strong junior applicants.

Requisite Skills

• Intermediate level software development skills in Python and Shell scripting
• 5 years of relevant Development experience
• Strong skills in network services, including Rest APIs and HTTP

Examples of desirable skills, knowledge and experience

• 5 years of relevant work experience
• Linux systems administration experience
• Experience with Kubernetes and docker
• Tooling and automation development experience
• Network fundamentals DHCP, ARP, subnetting, routing, firewalls, IPv6
• Configuration management systems such as Saltstack, Chef, Puppet or Ansible
• SQL databases (Postgres or MySQL)
• Time series databases (OpenTSDB, Graphite, Prometheus)
• The ability to understand service and device metrics and visualize them using Grafana

Bonus Points

• Experience programming in Rust, Go or with Django
• Experience with continuous / rapid release engineering
• Experience developing systems that are highly available and redundant across regions
• Performance analysis and debugging with tools like perf, sar, strace, dtrace
• Experience with the Linux kernel and Linux software packaging
• Internetworking and BGP experience
• Key/Value stores (Redis, KyotoTycoon, Cassandra, LevelDB)
• Load balancing and reverse proxies such as Nginx, Varnish, HAProxy, Apache

Some tools that we use

• Netbox
• Apache Airflow 
• Salt
• Docker, Kubernetes
• Nginx
• Python
• Django
• PostgreSQL
• Redis
• Prometheus

Want to learn more about what it's like to work at Handshake?Check out these interviews from our team members!

Your Impact

At Handshake, data is used in decision making across all areas of our business. As a Senior Analytics Engineer, you will play a pivotal role in shaping our data ecosystem by implementing scalable data models. Your expertise will empower our business stakeholders to make data-driven decisions, enabling the organization to leverage data as a strategic asset. Your contributions will enhance our ability to translate complex data needs into actionable metrics and models, driving innovation and efficiency across the organization. Your technical expertise will be instrumental in helping millions of students discover meaningful careers, irrespective of their educational background, network, or financial resources.

Your Role

In this role, you will be responsible for:

• Design and implement scalable data models and their corresponding pipelines.

• Collaborate closely with product and business teams to translate their data requirements into effective data models and metrics.

• Develop and own the data ecosystem, ensuring robust data governance and high data quality.

• Act as a leader in the data space, driving best practices and enabling data driven decisions across the product org.

Your Experience

To excel in this role, you should possess:

• Advanced SQL skills: Strong expertise in SQL and experience with data modeling and database design conventions.

• Proven leadership in data modeling or data governance, contributing to successful data strategy implementations.

• Demonstrated expertise in data modeling at scale.

• History of collaboration with product and business teams to align data initiatives with organizational goals.

• Experience using data orchestration and data modeling tools (airflow and dbt are the tools we use at Handshake)

• Cloud platform proficiency: Hands-on experience with cloud-based data technologies, preferably Google Cloud Platform (GCP), including BigQuery, DataFlow, BigTable, and more

Bonus Areas of Expertise

While not required, expertise in any of the following areas would be highly advantageous:

• Experience with Apache Spark for large-scale data processing and knowledge of when to utilize big data tooling.

• BI tool knowledge: Specifically Looker and Hex

• Containerization and orchestration: Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes.

Compensation range

$192,222-$213,580

WHAT YOU’LL DO

Join our dynamic team dedicated to revolutionizing data infrastructure and products for impactful decision-making at Braze. We collaboratively shape data engineering strategies, optimizing data pipelines and architecture to drive business growth and enhance customer experiences.

Responsibilities:

• Lead the design, implementation, and monitoring of scalable data pipelines and architectures using tools like Snowflake and dbt
• Develop and maintain robust ETL processes to ensure high-quality data ingestion, transformation, and storage
• Collaborate closely with data scientists, analysts, and other engineers to design and implement data solutions that drive customer engagement and retention
• Optimize and manage data flows and integrations across various platforms and applications
• Ensure data quality, consistency, and governance by implementing best practices and monitoring systems
• Work extensively with large-scale event-level data, aggregating and processing it to support business intelligence and analytics
• Implement and maintain data products using advanced techniques and tools
• Collaborate with cross-functional teams including engineering, product management, sales, marketing, and customer success to deliver valuable data solutions
• Continuously evaluate and integrate new data technologies and tools to enhance our data infrastructure and capabilities

WHO YOU ARE

The ideal candidate for this role possesses:

• 5+ years of hands-on experience in data engineering, cloud data warehouses, and ETL development, preferably in a customer-facing environment
• Proven expertise in designing and optimizing data pipelines and architectures
• Strong proficiency in advanced SQL and data modeling techniques
• A track record of leading impactful data projects from conception to deployment
• Effective collaboration skills with cross-functional teams and stakeholders
• In-depth understanding of technical architecture and data flow in a cloud-based environment
• Ability to mentor and guide junior team members on best practices for data engineering and development
• Passion for building scalable data solutions that enhance customer experiences and drive business growth
• Strong analytical and problem-solving skills, with a keen eye for detail and accuracy
• Extensive experience working with and aggregating large event-level data
• Familiarity with data governance principles and ensuring compliance with industry regulations
• Prefer, but don’t require, experience with Kubernetes for container orchestration and Airflow for workflow management

 #LI-Remote

Hiring Locations: Austin Texas, Atlanta, Denver, New York City, San Francisco, Seattle, or Washington D.C.

About the Role (or What you'll do)

Cloudflare operates a large global network spanning hundreds of cities (data centers). You will join a team of talented network engineers who are building software solutions to improve network resilience and reduce operational toil.
This position will be responsible for the technical operation and engineering of the Cloudflare's core data center network, including the planning, installation and management of the hardware and software as well as the day-to-day operations of the network. The core network supports our critical internal needs such as databases, high volume logging, and internal application clusters. This is an opportunity to be part of the team that is building a high­-performance network that is accessible to any web property online.

You will build tools to automate operational tasks, streamline deployment processes and provide a platform for other engineering teams to build upon. You will nurture a passion for an “automate everything” approach that makes systems failure-resistant and ready-to-scale. Furthermore, you will be required to play a key role in system design and demonstrate the ability to bring an idea from design all the way to production.

Examples of desirable skills, knowledge and experience

• 5+ years of relevant Network/Site Reliability Engineering experience
• BA/BS in Computer Science or equivalent experience
• Solid foundation on configuration management frameworks: Saltstack, Ansible, Chef
• Experience with NX-OS, JUNOS, EOS, Cumulus, or Sonic Network Operating Systems 
• Solid Linux systems administration experience
• Linux networking - iproute2, Traffic Control, Devlink, etc. 
• Strong software development skills in Go and Python

Bonus Points

• Deep knowledge of BGP and other routing protocols
• Workflow Management (AirFlow, Temporal)
• Open Source Routing Daemons (FRR, Bird, GoBGP)
• Experience with bare metal switching
• Experience with network programming in C, C++ or rust
• Experience with the Linux kernel and Linux software packaging
• Strong tooling and automations development experience
• Time series databases (Prometheus, Grafana, Thanos, Clickhouse) 
• Other Tools - Kubernetes, Docker, Prometheus, Consul

Compensation

Compensation may be adjusted depending on work location and level. 

• For Colorado-based hires: Estimated annual salary of $137,000 - $187,000.
• For New York City-based and California (excluding Bay Area) and Washington hires: Estimated annual salary of $154,000- $208,000.
• For Bay Area-based hires: Estimated annual salary of $162,000 - $218,000.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. 

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

The Department: Data

The Role: Senior Data Engineer

As a member of our data engineering team, you'll deliver high quality work while solving challenges that impact the whole or part of the team's data architecture. You'll update yourself with recent advances in Big data space and provide solutions for large-scale applications aligning with team's long term goals. Your work will help resolve complex problems with identifying root causes, documenting the solutions, and implementing Operations excellence (Data auditing, validation, automation, maintainability) in mind. Communicating your insights with leaders across the organization is paramount to success.

Responsibilities:

• Design, architect and implement best-in-class Data Warehousing and reporting solutions
• Lead and participate in design discussions and meetings
• Mentor data engineers and analysts
• Design, automate, build, and launch scalable, efficient and reliable data pipelines into production using Python
• Build real-time data and reporting solutions
• Design, build and enhance dimensional models for Data Warehouse and BI solutions
• Research new tools and technologies to improve existing processes
• Develop new systems and tools to enable the teams to consume and understand data more intuitively
• Partner with engineers, project managers, and analysts to deliver insights to the business
• Perform root cause analysis and resolve production and data issues
• Create test plans, test scripts and perform data validation
• Tune SQL queries, reports and ETL pipelines
• Build and maintain data dictionary and process documentation

Minimum Qualifications:

• 5+ years experience in data engineering with data warehouse technologies
• 5+ years experience in custom ETL design, implementation and maintenance
• 5+ years experience with schema design and dimensional data modeling
• Experience building real-time data solutions and processes
• Advanced skills with Python and SQL are a must
• Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
• Experience with one or more ETL tools(Informatica, Pentaho, SSIS, Alooma, etc)
• Strong computer science fundamentals including data structures and algorithms
• Strong software engineering skills in any server side language, preferable Python
• Experienced in working collaboratively across different teams and departments
• Strong technical and business communication

Preferred Qualifications:

• Kafka, HDFS, Hive, Cloud computing, machine learning, text analysis, NLP & Web development experience is a plus
• Experience with Continuous integration and deployment
• Knowledge and experience of financial markets, banking or exchanges
• Web development skills with HTML, CSS, or JavaScript

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $136,000 - $170,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-JS3

​​About the Role:

We're looking for a savvy and experienced Senior Analytics Engineerto build seamless data products in collaboration with our data engineering, analytics, engineering, business, and product management teams.

You Will:

• Take the data products to the next level by developing scalable data models 
• Manage transformations of data after load of raw data through both technical processes and business logic
• Create an inventory of the data sources and documents needed to implement self-service analytics
• Define quality standards of the data and partner with the analytics team to define minimum acceptance criteria for the data sources
• Data cataloging & documentation of the data sources
• Regularly meet with business partners and analytics teams to understand and solve data needs, short-term and medium-term
• Build trust with internal stakeholders to encourage data-driven decision-making
• Work with all organizations to continually grow the value of our data products by onboarding new data from our backend and 3rd party system

You Have:

• 8+ years of experience with SQL, preferably for data transformation or analytical use cases
• 4+ years of experience building scalable data models for analytical and BI purposes
• 3+ years of solid experience with dbt
• Mastery of data warehouse methodologies and techniques from transactional databases to dimensional data modeling, to wide denormalized data marts
• Solid experience with BI tools like Tableau and Looker
• Experience using version control (command-line, Git)
• Familiarity with one of the data warehouses like Google Big Query, Snowflake, Redshift, Databricks
• Domain expertise in one or more of the Finance, Product, Marketing, Operations, Customer Experience
• Demonstrated experience engaging and influencing senior leaders across functions, including an ability to communicate effectively with both business and technical teams
• Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions and recommendations to drive actions
• Ability to articulate vision, mission, and objectives, and change the narrative appropriate to the audience
• Experience working with management to define and measure KPIs and other operating metrics
• Understanding of SDLC and Agile frameworks
• Project management skills and a demonstrated ability to work autonomously

Nice to Have:

• Experience working in telehealth or e-commerce
• Previous working experience at startups
• Knowledge of Python programming
• Knowledge of Airflow, and modern data stack (Airflow, Databricks, dbt, Fivetran, Tableau / Looker)
• ML training model development

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