Foresitelabs
Senior Data Engineer (5+ years)
San Francisco, CA · Senior
Sponsorship not specified$185k-$221kDetected 80 days ago
PythonGitSQLPostgreSQLVector DatabasesAWSGCPCloud PlatformsDockerTerraformCI/CDGitHub ActionsLinuxRESTMachine LearningSparkAirflowdbtData EngineeringLLMsRAGClinical TrialsBioinformaticsResearch
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37Unrated
Cap-exempt (no lottery)0
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Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
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About the role
- Foresite Labs is a translational R&D team that derives insights from precision measurement and population-scale biology and genetics to address unmet clinical needs.
- We engage in translational research, transforming basic insights into therapeutic opportunities.
- Foresite Labs is headquartered in San Francisco and Boston.
Responsibilities
- Build and own production data infrastructure. Design, implement, and operate deterministic data pipelines that feed intelligence layers
- own the full lifecycle: pagination, rate limiting, auth, schema drift, idempotency, retries, monitoring, and alerting.
- Model and curate high-quality data assets. Perform entity resolution, schema design, and quality enforcement across disparate and heterogeneous data sources
- Support AI-native workflows. Build vector infrastructure (e.g., embeddings, indexing, retrieval) and structured data interfaces that GenAI agents and LLM orchestrators depend on
- Uphold high engineering standards and collaborate broadly. Lead code and design reviews, establish testing and observability best practices, and mentor peers
- partner with ML engineers, computational biologists, and company founders to translate scientific and business goals into maintainable, and scalable technical solutions.
- 5+ years of professional data engineering experience designing, building, and operating production pipelines end-to-end - including schema design for analytical workloads, entity resolution across messy real-world sources, and data quality enforcement at the pipeline level.
- Deep fluency in Python and SQL, writing performant, well-tested data transformation code (dbt or similar), with production experience in pipeline orchestration (e.g., Airflow, Prefect) covering DAG design, scheduling, dependency management, retry/backfill patterns, and alerting.
- Build and own production data infrastructure.
- Design, implement, and operate deterministic data pipelines that feed intelligence layers; ingest clinical, financial, scientific, and commercial data from REST APIs, XML feeds, and file-based sources into clean, queryable analytical layers; own the full lifecycle: pagination, rate limiting, auth, schema drift, idempotency, retries, monitoring, and alerting.
Nice to have
- Familiarity with biomedical or life sciences data (e.g., clinical trials, genomics, drug discovery, pharma commercial data).
- Familiarity with LLM application patterns: prompting, context engineering, tool use, structured outputs, retrieval-augmented generation (RAG).
- Experience with dashboard/BI tooling (Streamlit, Retool, Metabase, or similar).
- Why Foresite Labs
- Your code will accelerate discovery and bring novel therapeutics closer to patients and will help AI driven scientific innovation.
- Work at the intersection of software, cloud infrastructure, and biology alongside experts in each domain.
- Foresite Labs is an equal opportunity employer.
- We thrive on diversity and collaboration.
Compensation
- $185,000 - $221,400
Benefits
- We offer competitive salaries, excellent benefits, a flexible work environment, and the opportunity to learn from top thinkers in various disciplines.
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This listing is sourced directly from Foresitelabs's careers page and normalized into a canonical job model.