28 days 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
