Job Title Lead Data Engineer
Emory · US
Software Engineering
–
Not yet analysed
Demand72
Career growth70
Healthcare fit38
Remote potential35
5-year outlook
Lead data engineering roles at large academic health systems generally pay in line with senior technical individual-contributor or manager bands, though exact figures are not stated here. Growth depends on cloud/data platform modernization budgets, which have been steady but subject to cost scrutiny.
Clinical license
Not required
Applicant reach
narrow
Seniority
lead
Employment type
–
Date found
2026-10-27
Intelligence details
Flexible work details
- Eligible countries
- United States
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Only worth pursuing if you already have substantial hands-on data engineering experience (pipelines, SQL/Python, cloud warehouses) plus leadership; clinicians without that technical track record are unlikely to be competitive. Clinician-informaticists with several years of production data work could use it as a step up into technical leadership.
Who should apply
Clinician-informaticists or physician/nurse data professionals with multiple years of production data engineering experience and team leadership; healthcare graduates with a computer science/data engineering background and lead-level experience.
CV angle
Foreground real technical delivery: production ETL/ELT pipelines you built, SQL/Python codebases you owned, cloud data platforms used, and the scale/impact of data products delivered. Then layer healthcare domain credibility — EHR/clinical data sources handled, HL7/FHIR or claims data familiarity, governance/HIPAA/privacy experience, and cross-functional work with clinical and research stakeholders. Quantify team leadership (mentoring, code review, architecture decisions) rather than clinical duties.
Skills to highlight
- SQL and data modeling
- Python (or Scala/Java) for data processing
- ETL/ELT pipeline design and orchestration
- Cloud data platforms and warehousing
- Data quality, governance, and privacy (HIPAA)
- Technical team leadership and mentoring
- Stakeholder communication with clinical/research partners
Role summary
A lead-level data engineering position at Emory, responsible for designing, building, and overseeing data pipelines and data infrastructure, likely supporting healthcare, research, or enterprise analytics. The posting provides only a title and employer, so specifics on stack, team size, and working model are unknown.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.