Design and implement robust cloud-native data architectures and models
Implement and maintain logic that transforms raw healthcare data (claims, EHR)
Lead the engineering of high-throughput data exchanges using modern standards and APIs
Work closely with data advisors to test and validate pipelines and enforce rigorous data quality standards

Requirements

Bachelor’s degree in Actuarial Science, Data Science, Computer Science, Engineering, or related field required
Master’s degree preferred
7+ years of experience in data engineering, analytics engineering, or a related field
5+ years of hands-on experience with cloud platforms and modern data stacks
5+ years of functional leadership experience, including mentoring junior engineers and driving technical strategy

Benefits

Health insurance
401(k)
Company paid life insurance
Tuition reimbursement
Minimum of 18 days of paid time off per year
Paid holidays
Well-being and behavioral health programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata modelingdata transformationdata pipelinesdata quality standardscloud platformsdata engineeringanalytics engineeringAPIshigh-throughput data exchanges

Soft Skills

leadershipmentoringtechnical strategy

Certifications

Bachelor’s degreeMaster’s degree