Data Engineer

BetterHelp

48d•$100,000 - $145,000•Remote

About The Position

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy in across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution. As a Data Engineer at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way. We are seeking a talented Data Engineer to join our team and contribute to the development of cutting-edge data tools that drive high-quality services and support our rapid growth. As a Data Engineer, you will play a crucial role in creating and maintaining scalable systems using industry best practices. Your primary focus will be on designing and implementing solutions for data ingestion, transformation, orchestration, and accessibility, catering to diverse data consumers across the entirety of the organization. Your primary focus will be on designing and implementing solutions for data ingestion, transformation, orchestration, and accessibility, supporting diverse stakeholders across BetterHelp. Collaboration will be a key aspect of your work, as you closely partner with BI & Analytics Engineers, ML Engineers, and Data Scientists to tackle complex data challenges and make informed architectural decisions. By gaining a deep understanding of our core business objectives, you will align your efforts to deliver valuable insights and drive data-centric initiatives - from purpose-built data pipelines and data marts which promote self-service analytics and reporting, to assisting with the productionization of data science feature data and initiatives.

Requirements

BSc/MA in a quantitative field (e.g. Computer Science, Statistics, Math, Engineering)
3+ years of experience as a Data Engineer or similar role
3+ years of experience developing data pipelines and solutions using Python
Advanced SQL skills and experience building performant tables in OLAP warehouses (e.g., Snowflake, BigQuery)
Experience working with Python-based workflow orchestration for tools (e.g. Airflow) for data ingestion (e.g. API interactions) and/or other data orchestration processes
Familiarity with frameworks and tradeoffs in building complex data models, preferably working work dimensional modeling frameworks (e.g. Kimball, Data Vault)
Experience working with Docker and container orchestration (e.g. Kubernetes, ECS)
Experience working & developing with BI Tools (e.g. Looker, Tableau)
Excellent communication (oral and written), attention to detail, time management, and organizational skills
Ability to design/implement data solutions in accordance with precise data privacy, governance, and security measures (e.g. HIPAA, GDPR data privacy patterns)
Experience using git for version control

Responsibilities

Design, develop and maintain modern data platforms throughout the analytical data lifecycle - data ingestion and data lake development, orchestration, data quality, architecture, data compliance & governance
Design data pipelines and DAGs to orchestrate the reliable and timely movement and testing of data across our analytics environment
Own and develop data ingestion pipelines from a multitude of sources platforms and source types (APIs, databases, event streams, flat files, etc.) to the data lake
Deliver direct analytical insights like dashboards and ad-hoc analyses to business stakeholders
Collaborate with the teams across the company to understand their use cases and deliver high value data solutions
Work alongside analytics engineering team members to architect and develop the data warehouse data mart tables, using in-warehouse data transformations with dbt
Ensure data quality and freshness at every step of the pipeline for data trust and consistency
Build and maintain reverse ETL flows to deliver modeled data directly to stakeholders in the tools they use to foster fast and informed decision making
Develop and maintain containerized, fault-tolerant solutions that power BetterHelp’s data infrastructure
Work alongside analytics engineering team members to deliver trustworthy data solutions to our technical and non-technical stakeholders, including the delivery of feature data for data science applications, BI reporting, and to enable self-service analytics capabilities for all BetterHelp teams
Contribute to a culture of data trust, governance, security and compliance across the organization
Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives.
Enjoy great teamwork, have lots of fun, and take pride in building data tools that help expand access to mental healthcare
Work with a modern data stack: Airflow, Snowflake, dbt, Snowplow, AWS ECS & SageMaker, Fivetran, Terraform, and Looker