Senior Data Engineer
Tempus AI · Chicago · US
Posted 60+ days ago
Health Tech
–
Not yet analysed
Demand80
Career growth85
Healthcare fit35
Remote potential70
5-year outlook
Data engineering roles in health tech are well-compensated, with senior positions commanding strong salaries. Growth is expected as AI in healthcare expands.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
–
Date found
2026-09-04
Intelligence details
Why this is worth applying to
Clinicians with strong data engineering skills could leverage their healthcare domain knowledge, but this is a technical role requiring significant engineering experience.
Who should apply
Clinicians with a background in data engineering, computer science, or health informatics who want to work on healthcare data infrastructure.
CV angle
Highlight any data-related projects, informatics training, and understanding of clinical data standards (e.g., HL7, FHIR).
Skills to highlight
- SQL
- Python
- ETL
- Cloud platforms (AWS/GCP)
- Data pipelines
- Healthcare data standards
- Problem-solving
Role summary
Senior Data Engineer at Tempus AI responsible for designing and maintaining data pipelines for healthcare AI applications.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.