[Hiring] Senior Data Engineer @Greater Good Health

Role Description

To support our growth, we are adding a Senior Data Engineer to our Engineering team! This is a software engineering role. You write production code, design systems, and own them. Your focus is data ingestion, data quality, and platform reliability.

• Build and own the pipelines that bring external data into GGH.
• Ingest, validate, and land data in the raw layer in Snowflake.
• Ensure data arrives accurately and on time.
• Work with high ownership, small reviewable changes, code review, tests, CI/CD, and responsible use of AI-assisted development tools.

This is not a reporting or analytics role. You do not build data marts, business models, dashboards, or reports. If your experience is mainly in that work, this role is not a fit.

Responsibilities

• Data ingestion: Build and run Python pipelines in the cloud that bring member, claims, clinical, engagement, and telephony data from health plans and partners into Snowflake. Validate at each stage and handle errors automatically.
• Data delivery: Send data from inbound files to services owned by our engineering team in versioned message contracts. Manage schema changes so consumers do not break.
• Source data quality: Build the testing, reconciliation, and freshness monitoring that keeps source data accurate, complete, and on time. Quarantine bad files instead of loading them. Track lineage from each inbound file to the rows and messages it produced.
• Reliability: Build logging, metrics, and alerting that catch problems before partners or consumers do. Write runbooks. Monitor, troubleshoot, and improve the pipelines you ship.
• Platform: Build on AWS across serverless and containerized workloads, with infrastructure defined as code. Keep AWS and Snowflake costs under control.
• Security: Protect PHI and other sensitive data through least-privilege access, strict tenant isolation, and encryption in transit and at rest. Work with Security and Privacy to turn HIPAA and data use agreement requirements into technical controls.
• Collaboration and standards: Work with partners and internal teams on file specifications, data requirements, and delivery schedules. Take part in code reviews, support other engineers, document reusable patterns and architecture decisions, and use AI-assisted development tools effectively and responsibly.

Qualifications

• 7+ years of engineering experience building and running production data pipelines, products, or platforms in the cloud.
• Healthcare data experience, ideally claims and eligibility or EHR data.
• Strong software engineering knowledge applied to data work, including object-oriented design, git, code review, automated testing, and CI/CD.
• Strong Python and SQL skills, with solid experience in ETL or ELT.
• Production experience with Snowflake as a platform, not only as a SQL engine.
• Hands-on experience with AWS or Azure for data workloads.
• Proven experience building data quality and observability into production pipelines.
• Experience managing schema evolution and data contracts between producers and consumers.
• Experience building data systems in a high-compliance, multi-tenant environment.
• Effective, responsible use of AI-assisted development tools.
• Experience in a startup or other small, fast-paced company.

Preferred qualifications

• Experience managing cloud and Snowflake resources with infrastructure as code (CDK or Terraform).
• Experience with healthcare interoperability standards such as FHIR or HL7.
• Experience with CRM, engagement, telephony, or contact-center data.
• Experience with event streaming or workflow orchestration.
• Experience with Snowpark for Python, data metric functions, or secure data sharing.

Benefits

• Competitive Compensation Package.
• Comprehensive Medical, Dental, and Vision Benefits.
• Paid Time Off.
• 401K Program with Company Match.
• Monthly Phone/Internet Reimbursement.
• Comprehensive Life and AD&D Coverage.
• Short-Term Disability Coverage.
• Collaborative and Supportive Community.