Tempus
Senior Data Engineer
$125K–$180K
Chicago +4 · Senior · Full-time · Posted Oct 20, 2026
- Location
- Chicago
Boston
Redwood City
New York City
Aliso Viejo - Experience
- 5+ years building production data-intensive software systems; 3+ years in data engineering, pipeline ownership, or data modeling; 2+ years hands-on Google Cloud; 2+ years in HIPAA-regulated environments with EMR integrations and healthcare data standards; 1+ years building with LLMs, including agentic workflows, RAG, or autonomous tool use.
- Education
- Bachelor's degree in a related technical field; equivalent professional experience, including significant open-source contributions or recognized technical writing, will be considered. Master's degree or Ph.D. is preferred.
About the job
Build and operate the data platform, pipelines, models, infrastructure, and TypeScript services that make multimodal clinical data reliable and accessible to AI agents for real-time evaluation.
What you'll do
- Build ingestion, transformation, event-driven, and retrieval systems for clinical, genomic, and cardiovascular data.
- Own BigQuery/dbt models, data quality and lineage, and Google Cloud infrastructure deployed with Terraform.
- Develop TypeScript services and APIs for agent workflows, and support secure, scalable operation across hospital networks.
What they ask for
- Production data engineering and software engineering experience, including pipelines, APIs, and structured and unstructured data at scale.
- Hands-on Google Cloud, Terraform, containers, SQL, dbt or an equivalent, and event-driven systems experience.
- Python proficiency and enough TypeScript or another statically typed language to work in application and service code.
- Working knowledge of HL7, FHIR, Epic/Cerner, DICOM, genomic data formats, HIPAA, and SOC 2.
Nice to have
- Direct experience with Google Cloud Healthcare API or specialized clinical data such as OMOP, DICOM, genomic models, or longitudinal patient records.
- Kubernetes, vector or graph databases, AWS alongside GCP, or advanced enterprise modeling techniques.
Pay
$125,000-$180,000 USD base salary
Tools
BigQuery, dbt, Cloud SQL (PostgreSQL), Memorystore (Redis), Pub/Sub, Python, TypeScript, Terraform
AI focus
Build agent-ready data access, metadata, and retrieval services, and support autonomous AI agents and LLM workflows for clinical evaluation.
Model-written summary · the original posting is authoritative