2 months ago
Base Salary
$200k - $260k/yr
Responsibilities
- Set the technical direction and evolve the warehouse, data lake, ETL/ELT architecture, processing, table formats, orchestration, and query-engine strategy.
- Design, operate, and scale data platforms processing terabytes of data and millions to billions of events per day.
- Drive critical data projects end-to-end, including design documents, rapid v0 releases, and iterative improvements.
- Own data reliability, quality, governance, and the tradeoffs among cost, latency, correctness, and operability.
- Build and rearchitect patient-data consolidation, customer data delivery, customer ingestion, and document-processing pipelines.
- Support AI/ML teams by providing required data, feature pipelines, model inputs and outputs, and unstructured-data extraction.
- Mentor and multiply engineers through design reviews, code reviews, pairing, onboarding, and technical guidance.
- Eventually serve as Team Lead by delegating work, unblocking teammates, and owning team delivery while remaining hands-on.
- Participate in sprint planning, retrospectives, roadmap development, daily stand-up, and the on-call rotation.
Requirements
- 8+ years of engineering experience building, operating, and scaling data platforms.
- End-to-end data architecture experience across ingestion, storage, processing, warehousing, and serving.
- Deep experience with modern cloud-native data stacks, including distributed processing, open table formats, cloud storage, warehouses, dbt, orchestration, and streaming.
- Strong software engineering fundamentals and production coding experience in TypeScript and Python.
- Experience mentoring or guiding engineers through code reviews, pairing, design feedback, or onboarding.
- Experience leading engineers is a bonus.
- Experience supporting ML or data-science workflows, including feature pipelines, model inputs and outputs, or unstructured-data extraction, is a bonus.
- Healthcare experience with standards or technologies such as FHIR, HIE, IHE, EHR/EMR, NPI, TEFCA, ADT, HL7, HEDIS, RAF, SNOMED, LOINC, or ICD-10 is a bonus.
- Must be located in the San Francisco Bay Area or willing to relocate.
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 dinners as needed.
- Quarterly company off-sites.
- Company-provided MacBook.
- Unlimited PTO.
- Leaders work in the office six days per week and the team is generally expected to be available six days per week; the only mandatory meeting is a daily 30-minute remote stand-up at 7:30am PST.
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.