3 months ago
Base Salary
$180k - $220k/yr
Responsibilities
- Build and improve warehouse, data lake, and ETL/ELT architectures for scale, reliability, quality, and governance.
- Evaluate and use batch and streaming processing, table formats, orchestration, and query-engine technologies.
- Drive data projects end-to-end, including design documents, rapid initial releases, and iterative improvements.
- Scale patient-data consolidation pipelines and build reliable customer data ingestion and delivery pipelines.
- Build document-processing pipelines that extract structured data from PDFs, images, and free text for ML models.
- Support AI/ML efforts by providing required data and workflows.
- Mentor engineers through code reviews, pairing, design feedback, and guidance.
- Review designs and pull requests and balance quality investments with delivery speed.
- Participate in sprint planning, retrospectives, daily remote stand-ups, and the on-call rotation.
Requirements
- 6+ years of engineering experience with a strong focus on data engineering.
- Experience building, maintaining, and scaling pipelines processing terabytes of data and millions of events per day.
- Experience across data ingestion, storage, processing, warehousing, and serving, including tradeoffs involving cost, latency, correctness, and operability.
- Experience with modern cloud-native data stacks such as Spark, open table formats on S3, and Snowflake, BigQuery, or Redshift.
- Strong software engineering fundamentals and production coding experience, especially with TypeScript and Python.
- Experience mentoring or guiding engineers through code reviews, pairing, design feedback, or onboarding.
- Located in the San Francisco Bay Area or willing to relocate.
- Bonus experience with Kafka, Kinesis, dbt, Airflow, Dagster, ML/data science workflows, or healthcare standards and technologies such as FHIR, HIE, IHE, EHR/EMR, NPI, TEFCA, ADT, HL7, HEDIS, RAF, SNOMED, LOINC, and ICD-10.
Benefits
- Competitive equity and compensation package.
- Full family Platinum health, dental, and vision insurance.
- 401(k) retirement plan with matching.
- Flexible work from home or in-office arrangement.
- Complimentary healthy lunches when working in-office, with breakfast and dinner as needed.
- Quarterly company off-sites.
- Company-provided MacBook.
- Unlimited PTO.
- Leaders are in the office six days a week and the team is generally expected to be available six days a week; the only mandatory meeting is a 7:30 a.m. PST daily remote stand-up.
- The role is based in the San Francisco Bay Area or requires relocation.
Tech Stack
Amazon DynamoDBAmazon RedshiftApache AirflowApache KafkaApache SparkAWSdbtGoogle BigQueryNode.jsPostgreSQLPythonSnowflakeTypeScript
Categories
Data Engineering
About Metriport
Metriport builds an open-source platform and APIs that aggregate and standardize U.S. patient medical data for healthcare providers and health-tech platforms. It connects to national and regional HIEs, QHINs, EHRs, labs, and pharmacies to deliver longitudinal records and alerts via a single API or embedded apps. Founded in 2022 and headquartered in San Francisco, it is privately held and used by organizations such as Amazon One Medical, Strive Health, Color, Sollis Health, and Canvas Medical.