layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Senior Data Engineer (5+ years) at Foresite Labs | LAYIQ

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.
Hands-on cloud data stack experience across AWS or GCP (e.g., managed Postgres, object storage, query engines, serverless ETL) and working knowledge of IAM, networking, and infrastructure patterns; comfortable with Spark or Trino at scale over Parquet/Iceberg. Terraform, CDK, or Pulumi experience is a plus.
Exposure to vector databases (Pinecone, pgvector, Weaviate, or similar) with an understanding of how embedding-based retrieval fits into LLM-powered applications.
Comfortable building and navigating Unix environments, containers (Docker), and CI/CD pipelines (GitHub Actions or similar).
Mindset for rapid and early‑stage execution: bias for action, ownership of ambiguous problem spaces, and demonstrated ability to prioritize and wear multiple hats.
Strong written and verbal communication skills - comfortable explaining complex ideas clearly to technical and non‑technical partners.
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
Impact. Your code will accelerate discovery and bring novel therapeutics closer to patients and will help AI driven scientific innovation.
Autonomy. Small, senior teams give you room to architect and own end‑to‑end solutions without heavy bureaucracy.
Learning. Work at the intersection of software, cloud infrastructure, and biology alongside experts in each domain.
Flexibility & Benefits. Competitive salary and equity, comprehensive healthcare, generous PTO, and hybrid/remote options aligned to our SF or Boston hubs.
Ready to build? Apply today and help us create the software foundation that powers the next generation of companies advancing biotech and scientific innovation.
Location: San Francisco, CA

Senior Data Engineer (5+ years)

Employer job description

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What You’ll Bring

Equal opportunity and accommodations

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