Data Engineer

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.

What will you do?

• 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

What will you NOT do?

• You will NOT worry about “runway”, “cash left”, or “how much time we have until the next round”. We have the startup DNA but we’re fully backed and funded, all the way to success.
• You will NOT be confined to your “job”. You will get involved in product, marketing, business strategy, and almost everything we do.
• You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
• You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.

Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.

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

Benefits

• Remote work with regular in-person bonding experiences sponsored by the company
• Competitive compensation
• Holistic perks program (including free therapy, employee wellness, and more)
• Excellent health, dental, and vision coverage
• 401k benefits with employer matching contribution
• The chance to build something that changes lives – and that people love
• Any piece of hardware or software that will make you happy and productive
• An awesome community of co-workers

The base salary range for this position is $100,000 – $145,000.