Designing and developing modern, data-centric applications that support clinical and operational workflows across the healthcare system
Building scalable data pipelines, transformation and enrichment processes
Automating and monitoring production pipelines
Mentoring junior Data Engineers
Collaborating with Product, Platform, and Architecture teams
Ensuring reliability, security, and cost-efficiency of the enterprise data platform
Implementing observability, data-quality checks, audits, and runbooks
Requirements
Bachelor's Degree in Computer Engineering, Computer Science, Mathematics, Engineering OR a combination of equivalent education and work experience
5 or more years of related experience
Strong SQL experience
Hands-on Python and shell scripting (Bash/PowerShell) on Linux
Experience with cloud computing and data warehousing on relational platforms
Solid understanding of OLAP/dimensional modeling and RDBMS fundamentals
Knowledge of semi/unstructured data (JSON/Parquet) and API integrations
Familiarity with open-source ELT/ETL tooling
Git-based workflows and CI/CD basics for data deployments
Master's degree in Computer Engineering, Computer Science, Mathematics, Engineering OR a combination of equivalent education and work experience (preferred)
5 or more years of data warehousing experience (preferred)
Benefits
Health insurance
401(k) matching
Paid time off
Flexible work hours
Professional development opportunities
Wellness programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.