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About the Role
Tempus is building the Patient Evaluation Engine, a high-scale, multi-modal healthcare platform where autonomous AI agents reason over clinical data to drive real-time clinical evaluation across federated networks of hospitals. We are looking for a Senior Data Engineer to build and own the data platform underneath it — the pipelines, models, and services that make EHR records, genomic results, and cardiovascular imaging discoverable, trustworthy, and usable by agents. This role requires strong software engineering capabilities and deep knowledge of Google Cloud infrastructure.
Responsibilities
- Build the pipelines that feed the agents, optimizing for real-time inference.
- Develop systems to fetch, parse, and serve structured and unstructured data.
- Build and maintain dbt models on BigQuery, ensuring data trustworthiness.
- Shape the data model across clinical EHR records, genomics, and imaging data.
- Build and operate event-driven services for data movement and reliability.
- Develop data access patterns and metadata layers for AI agents.
- Build TypeScript services and APIs for agent coordination and data handling.
- Extend and operate the platform's Google Cloud footprint in Terraform.
- Build for federated networks of hospitals, ensuring multi-tenancy and high availability.
- Implement automated solutions to monitor data quality and lineage.
- Build observability, error tracking, and human-in-the-loop checkpoints.
- Partner with clinical, analytics, and platform engineering teams on data standards and governance.
Requirements
- Proven track record building and operating production data pipelines at scale.
- Hands-on experience designing and running workloads on GCP.
- Strong SQL and practical experience with dbt or an equivalent transformation framework.
- Comfort owning infrastructure as code in Terraform and working in containers.
- Experience writing production-quality application and service code.
- Proficiency in Python for data pipelines and TypeScript for services and APIs.
- Experience with pub/sub or queue-based architectures.
- Working knowledge of HL7, FHIR, Epic/Cerner data structures, DICOM, and genomic data formats.
- Familiarity with building secure, resilient systems under HIPAA and SOC 2.
Skills
- Python
- TypeScript
- SQL
- dbt
- Google Cloud
- BigQuery
- Pub/Sub
- Cloud Storage
- Cloud SQL
- Secret Manager
- Terraform
- Docker
- HL7
- FHIR
- DICOM
- Genomic data formats
- HIPAA
- SOC 2
- NestJS
- TypeORM
- GoRules ZEN engine
- AWS
- Vector databases
- Graph databases
- Data Vault 2.0
- Master Data Management
Location
- California
- Colorado
- Illinois
- New York
Work Type
- Remote
Experience Level
- 5+ years total professional experience 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
- 1+ years hands-on building with Large Language Models
- Demonstrated experience managing structured and unstructured data at scale
Education Level
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Health Informatics, or a related technical field.
- Master's degree or Ph.D. in Computer Science (AI/ML or distributed systems focus) or Biomedical Informatics (Preferred)
- Equivalent professional experience will be considered
Salary/Compensations
- $125,000-$180,000 (California)
- May vary for other locations (Colorado, Illinois, New York)
Benefits
- Incentive compensation
- Restricted stock units
- Medical and other benefits depending on the position
About the Company
- Tempus uses AI to advance precision medicine and improve healthcare.
- Our proprietary platform connects real-world evidence to deliver actionable insights to physicians.
- We aim to provide critical information about the right treatments for the right patients, at the right time.
Equal Opportunity
- We are an equal opportunity employer.
- We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
- Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.