Senior Data Engineer

Tempus AI

. Build pipelines that fetch, parse, and serve structured and unstructured clinical EHR, genomic, and cardiovascular imaging data .

Posted 10/15/2026full-timeUnited StatesSenior💰 $125,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryCloudPythonSQLTerraformTypeScript

About the role

Key responsibilities & impact

Build pipelines that fetch, parse, and serve structured and unstructured clinical EHR, genomic, and cardiovascular imaging data
Build and maintain dbt models on BigQuery, including tests, documentation, and SQL standards
Design multi-modal patient-record data models using normalized and dimensional approaches
Build and operate Pub/Sub topics, subscriptions, dead-letter handling, retries, and idempotency
Build data-access patterns, metadata layers, and retrieval services for AI agents
Develop TypeScript services and APIs for agent input, output, and orchestration
Extend and operate Google Cloud infrastructure using Terraform, including BigQuery, Pub/Sub, Cloud SQL, Cloud Storage, Memorystore, Secret Manager, service accounts, and IAM
Build for multi-tenant, highly available federated hospital networks across hybrid on-premises and cloud environments
Implement automated data-quality and lineage monitoring with source traceability
Build observability, error tracking, and human-in-the-loop checkpoints
Partner with clinical, analytics, and platform engineering teams on data modeling, governance, and data integrity
Own production systems, investigate root causes, and deliver incremental improvements

Requirements

What you’ll need

Proven track record building and operating production data pipelines handling structured and unstructured data at scale
Hands-on Google Cloud experience with BigQuery, Pub/Sub, Cloud Storage, Cloud SQL, Secret Manager, IAM, and service accounts
Strong SQL and practical dbt or equivalent transformation-framework experience
Experience with Terraform, containers, and infrastructure as code
Production-quality application and service coding ability, including APIs and tests
Production Python and TypeScript or another statically typed language
Experience with pub/sub or queue-based architectures, retries, ordering, idempotency, and dead-letter handling
Working knowledge of HL7, FHIR, Epic/Cerner data structures, DICOM, and genomic data formats
Familiarity with secure, resilient systems under HIPAA and SOC 2
5+ years building data-intensive software systems in production
3+ years focused on data engineering, pipeline ownership, or data modeling
2+ years hands-on building and operating on Google Cloud
2+ years in HIPAA-regulated environments with EMR integrations and healthcare data standards
1+ years building with Large Language Models, agentic workflows, RAG, or autonomous tool use
Experience managing structured and unstructured data at a scale of millions of records
Bachelor's degree in Computer Science, Software Engineering, Data Science, Health Informatics, or a related technical field, or equivalent professional experience
Qualified applicants with arrest or conviction records will be considered in accordance with applicable law

Benefits

Comp & perks

Incentive compensation may be offered
Restricted stock units may be offered
Medical and other benefits depending on the position
Equal opportunity employment