Staff Data Engineer
About the role
Data engineering leadership role responsible for owning and evolving Metriport's data platform end-to-end, including architecture, delivery, and mentoring engineers to ensure data reliability, quality, and governance at scale.
Responsibilities
- Setting the technical direction for our data platform: evolving our warehouse, data lake, and ETL/ELT architecture to scale with patient and customer growth, and picking the right tools (batch and streaming processing, table formats, orchestration, query engines).
- Driving the critical data projects end to end: writing Design Documents, shipping v0's quickly, and iterating to v1 and beyond.
- Supporting AI/ML efforts: making sure the AI Engineers have the data they need.
- Multiplying the team: mentoring engineers on data fundamentals, reviewing designs and PRs, and judging when to invest in quality vs. ship fast.
- Eventually, acting as Team Lead for a group of engineers: breaking down and delegating work, unblocking teammates, and owning your team's delivery while staying hands on in the code.
- Driving bi weekly sprint planning and retros, contributing to the engineering roadmap, joining our daily 30 min remote stand up at 7:30am PST, and taking part in the on call rotation.
- Example projects: rearchitecting patient data consolidation pipeline; building pipelines delivering clinical data into customers' warehouses; designing ingestion paths for large customer data pushes; building document processing pipelines for ML models.
Qualifications
- 8+ years of engineering experience, with significant depth building, operating, and scaling data platforms processing terabytes of data and millions to billions of events a day.
- Designed data architectures end to end ingestion, storage, processing, warehousing, serving and owned tradeoffs (cost, latency, correctness, operability).
- Deep experience with modern, cloud native data stacks: Spark, open table formats (Parquet, Iceberg, Delta) on S3, warehouses (Snowflake, BigQuery, Redshift), dbt, orchestration (Airflow, Dagster), and streaming (Kafka, Kinesis).
- Strong software engineering fundamentals, production code (TypeScript + Python in data/ML workflows).
- Experience mentoring or guiding other engineers through code reviews, pairing, design feedback, or onboarding.
- Located in San Francisco / Bay Area, or willing to relocate.
- Bonus: Experience leading engineers; experience building or supporting ML/data science workflows; healthcare standards/technologies (FHIR, HL7, EHR/EMR, etc.).
Skills
Benefits
- Competitive equity + compensation package
- Full family Platinum health insurance, dental, and vision coverage
- 401(k) retirement plan + matching
- Flexible work from home or in office
- Healthy lunches are complimentary when working in office (and breakfast + dinners as needed)
- MacBook provided by us
- Unlimited PTO
About Metriport
Open-Source Platform for Healthcare Data Intelligence
Metriport provides real-time access to comprehensive medical data for 300M+ individuals across the US. Our open-source intelligence platform helps organizations access, analyze, and exchange patient data while integrating with all major healthcare IT systems. If you’ve been to doctors in the US, you may have encountered the problem: how does a healthcare provider get access to your up-to-date medical history to treat you properly? Reliance on archaic methods is still the norm: typically, you or your provider need to call the facilities where you’ve previously received treatment (assuming you remember them all), just to have them send your records via fax (yep, fax). This can take weeks, only then to have a provider sift through hundreds of pages of unstructured docs, just to figure out basic things like your active medication list, what conditions you may have, latest lab results, etc. This not only delays care—it can cause improper treatment, since the medical history is critical for informing treatment decisions. Metriport integrates fragmented medical data from thousands of sources—including both national and state/regional Health Information Exchanges (HIEs), ADTs, EHRs, pharmacies, and labs—through a single API connector. The platform then standardizes, deduplicates, and enriches this data to create a comprehensive longitudinal patient record, with AI-powered clinical summaries. Along with a rich understanding of patient health history, healthcare providers also get realtime updates about their patients' health through Metriport. This includes getting notified when a patient is discharged from the hospital, picks up their prescription from the pharmacy, or has a new lab result available. Through this data, care teams get insights across their patient population, helping with 30-day readmissions prediction, care gap closure, risk adjustment, and more. On top of all of this, Metriport enables healthcare organizations to share net-new clinical information back to all major healthcare IT systems, and to become interoperable with popular EHR systems such as Epic, Cerner, athena, eClinicalWorks, and many more—forming an internet for healthcare data. Metriport improves both patient and provider lives at the point-of-care, supporting use cases such as medication adherence, transitions of care management, chart prep, and much more. If you want to do work that matters, get in touch with us today.
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