Metriport
Senior Data Engineer
$180K–$220K
San Francisco · Hybrid · Senior · Full-time · Posted Oct 13, 2026
- Experience
- 6+ years of engineering experience.
About the job
Scale Metriport’s data platform and pipelines for clinical data, delivering reliable data products to customers and supporting AI/ML teams.
What you'll do
- Improve the warehouse, data lake, and ETL/ELT architecture; evaluate tools for data processing, orchestration, and querying.
- Lead data projects end to end, from design documents and rapid initial releases through iteration.
- Mentor engineers, review designs and code, support AI/ML data needs, and participate in the on-call rotation.
What they ask for
- 6+ years of engineering experience, primarily in data engineering, building and scaling pipelines for terabytes of data and millions of events daily.
- Experience across data ingestion, storage, processing, warehousing, and serving, including tradeoffs in cost, latency, correctness, and operability.
- Experience with modern cloud-native data stacks and production software engineering; the posting names Spark, Parquet, Iceberg, Delta, S3, Snowflake, BigQuery, Redshift, TypeScript, and Python.
- Experience mentoring or guiding engineers; located in or willing to relocate to San Francisco / Bay Area.
Nice to have
- Experience with Kafka, Kinesis, dbt, Airflow, or Dagster.
- Experience supporting ML/data science workflows or familiarity with healthcare standards and technologies.
Pay
$180K – $220K USD base salary
Tools
Spark, Parquet, Iceberg, Delta, S3, Snowflake, TypeScript, Python
AI focus
Support AI/ML efforts by supplying data to AI engineers; possible work includes document-processing pipelines that extract structured data for ML models.
Model-written summary · the original posting is authoritative