
Metriport
Senior Data Engineer
San Francisco ยท Senior
Sponsorship not specifiedDetected 1 day ago
TypeScriptPythonNode.jsCode ReviewPostgreSQLDynamoDBBigQuerySnowflakeRedshiftAWSKafkaMachine LearningSparkAirflowdbtData EngineeringData ScienceAgileHL7/FHIREHR/EMRICD-10Mentoring
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Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- We integrate with all major US healthcare IT systems and tap into comprehensive medical data for 300+ million individuals.
- We're a tight-knit, high-performing team of mostly former founders (including two YC alumni).
- We're engineering-heavy, operate with minimal bureaucracy and high autonomy, and hire based on competence, not prestige.
Responsibilities
- Raising the technical bar for our data platform: building on and improving our warehouse, data lake, and ETL/ELT architecture so it scales with patient and customer growth, and helping evaluate the right tools (batch and streaming processing, table formats, orchestration, query engines).
- Driving data projects end-to-end: writing Design Documents, shipping v0's quickly, and iterating to v1 and beyond.
- Multiplying the team: mentoring engineers on data fundamentals, reviewing designs and PRs, and judging when to invest in quality vs. ship fast.
- Example projects you could own:
- Building document-processing pipelines that extract structured data from PDFs, images, and free text to feed ML models.
- Experience mentoring or guiding other engineers - through code reviews, pairing, design feedback, or onboarding.
Requirements
- Experience across the data stack - ingestion, storage, processing, warehousing, serving - and an understanding of the tradeoffs (cost, latency, correctness, operability) at each layer.
- Experience with modern, cloud-native data stacks: e.g., Spark, open table formats (Parquet, Iceberg, Delta) on S3, and warehouses (Snowflake, BigQuery, Redshift).
- Experience with streaming systems (Kafka, Kinesis), dbt, or orchestration tooling (Airflow, Dagster).
Skills
- FHIR, HIE, IHE, EHR/EMR, NPI, TEFCA, ADT, HL7, HEDIS, RAF, SNOMED, LOINC, ICD-10, etc.
- Competitive equity + compensation package ๐
- Full family Platinum health insurance, dental, and vision coverage ๐ฆท
- 401(k) retirement plan + matching ๐ฐ
- Flexible work from home or in-office ๐ข
- Healthy lunches are complimentary when working in-office (and breakfast + dinners as needed) ๐
- Quarterly company off-sites with the team โท๏ธ
- MacBook provided by us ๐ป
- Unlimited PTO (we work hard, but trust you to take time you need to be at your best) ๐งโโ๏ธ
- Core business logic in Node.js and TypeScript, with Python in data and ML workflows.
- AWS across the board (ECS, Lambda, SQS, SNS, Batch, etc.), infrastructure as code with CDK.
- Data lives in S3, PostgreSQL/Aurora, DynamoDB, Snowflake, and our FHIR server - with Athena for querying S3 and SageMaker for ML.
Compensation
- Competitive equity + compensation package ๐
Company info
- We've found product-market fit with multi-million ARR, 100+ customers (including Amazon One Medical, Strive Health, Circle Medical, and Brightside Health), backing from top VCs, and years of runway.
- We push hard-founders work six days a week from our SF office-but give everyone freedom to craft their schedule.
- We measure output and we're committed to sustainable intensity.
- Metriport is an open-source data intelligence platform that helps healthcare organizations access and exchange patient data in real-time: record retrieval that used to take days now takes seconds, and clinicians walk into every appointment with the full patient picture.
- We're ready to scale.
- We're looking for a data engineer who can operate at a Senior level:
- You've built and scaled data pipelines and systems, with hands-on experience across the ecosystem - distributed processing, lakehouses, warehouses, streaming, orchestration. You know when each is (and isn't) the right tool for the job, and people usually come to you for guidance on how to move, transform, and serve data reliably.
- You fully own your work - technical decisions, delivery, results - and you level up the engineers around you through code reviews, pairing, and guidance. Multiplying the team's output energizes you as much as shipping your own.
- You're entrepreneurial-minded with an olympian-level work ethic (about half our engineering team are former founders).
- You understand data reliability, quality, and governance as first-class parts of delivery.
- You care about delivering value to customers, not about what frilly new tech is under the hood.
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This listing is sourced directly from Metriport's careers page and normalized into a canonical job model.