Onsera Health
Data Engineer
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Onsera Health
Onsera Health builds cardiometabolic care infrastructure within the Population Health Partners ecosystem, with a focus on GLP-1 therapy management. Our platform runs on GCP (BigQuery, Cloud Run, Cloud Healthcare API) and operates under HITRUST and SOC 2 controls. We integrate clinical data from Canvas EHR, lab vendors, claims feeds, pharmacy benefits, internal user and app telemetry and acquired third party data (to name a few).
The role
You'll build and maintain the pipelines that move data from product systems into our analytical lake, and help downstream teams — ML, BI, analytics, product — consume it. You'll work to patterns and standards set by the Head of Engineering, with room to suggest improvements as you learn the platform. Reports to the Head of Engineering. Your responsibility will be to produce will utilised data products which empower the business to improve patient care, and business operations.
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What you'll do
- Build pipelines that promote data from product systems into the data lake, following established interface and quality patterns
- Onboard third-party data sources (e.g. reference data, new training datasets to prime novel modelling initiatives) into the lake
- Apply PII controls — row- and column-level security in BigQuery and equivalent patterns for non-relational stores
- Promote curated datasets into feature stores in collaboration with the ML team
- Support product teams in discovering and prototyping against lake data
- Build catalogue entries and access patterns for multimodal data: chat transcripts, consultation notes, clinical images
- Set up and maintain BI tooling connections and models on top of lake data
- Translate product requirements into dataset designs or source integrations, working with senior engineers on the approach
What we're looking for
- 2–4 years building data pipelines in production, ideally on GCP / BigQuery (other cloud equivalents are also fine)
- Strong SQL; Python for pipeline code
- Hands-on experience with dbt or similar transformation frameworks
- Comfort working with structured and semi-structured data and basic governance concepts (access controls, lineage, PII)
- Able to pick up new domains quickly and work directly with product and ML engineers
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Bonus
- Healthcare data: FHIR, claims (837/835), TUVA, or similar
- Airflow
- Feature stores (Vertex AI, Feast, or similar)
- HITRUST / SOC 2 / HIPAA environments
- Multimodal / unstructured data (transcripts, image metadata, vector stores)
Team and reporting
Reports to the Head of Engineering. Works alongside backend, ML, and clinical integration engineers in a small, hands-on team. You'll execute against a defined data strategy and platform direction, with senior engineers available for design support.
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