About the TeamYou'll join an early and growing data engineering team that's shaping the foundations of our data platform. We're investing in a modern transformation layer, reliable pipelines, and richer in-product analytics for our clients and you'll have real influence over how that gets built.
About the RoleYou'll be one of the first data engineers on our team. This is hands-on, high-ownership work: building our transformation layer, strengthening our analytics pipelines, and creating the data models that power both internal reporting and the analytics our clients see inside the product.
What You'll Do- Build and strengthen pipelines: improve the reliability and observability of how data flows into our analytics environment.
- Build the transformation layer: develop dbt models with clean staging/marts layering, turning raw data into trustworthy, well-tested datasets.
- Power analytics: build the data models behind in-product analytics, QBRs, Customer Success reporting, and the dashboards our clients use.
- Own quality: put checks in place so data issues surface before they reach clients.
- Collaborate: work with Product, Client Solutions, and commercial teams to understand what the data needs to support.
Who You Are- 6+ years of professional data engineering experience
- Architectural depth: you've designed and evolved analytics data platforms, and reason clearly about when added complexity is worth it versus premature.
- Expert SQL and data modeling: you model data well for analytics and can guide others in doing the same.
- Reliable production pipelines: you've built and operated critical production data pipelines and understand their real-world failure modes.
- Technical leadership: you raise the bar for other engineers through architecture, standards, and mentorship.
Our Stack- Databases: PostgreSQL across our production and analytics environments, with room to grow into a cloud warehouse as we scale
- Ingestion: CDC / streaming replication into analytics (evaluating tools like Estuary Flow and Debezium/Kafka)
- Transformation: building out a version-controlled, dbt-based staging/marts layer with data tests and CI/CD
- Orchestration: scheduled, observable pipeline runs (e.g. Airflow or similar)
- BI & embedded analytics: a modern BI and embedding platform (we use Sigma) for internal reporting and in-product client analytics, with a maturing semantic/metrics layer
- Domain: life sciences / healthcare data; comfort working in HIPAA-aware, PHI-handling environments is a plus
Benefits- 100% paid employee health benefit options (including medical, dental, and vision)
- 401(k) with employer funded match
- Unlimited Vacation
- Commuter Benefits
- Paid parental leave
- Catered lunch on Fridays
- Wellness stipend
The annual salary range for the target level for this role is $175,000- $225,000 + equity + benefits, including medical, dental, and vision. Final compensation will be determined based on a variety of factors including relevant experience, interview performance, and internal equity.
