Data Engineering Intern (Operations Analytics and Reporting) - 2026 Summer Internship

HealthFirst•New York, NY

1d•$34,900 - $54,570•Hybrid

About The Position

Healthfirst’s 2026 Summer Trailblazer Internship is a 10-week paid program beginning on June 1, 2026. This is an immersive and interactive learning experience, that lays a foundation for continued leadership development. Interns do impactful work, collaborating with other interns, employees, and business leaders to solve current business problems and deliver solutions. Who We Are: For nearly 30 years, Healthfirst has been serving New Yorkers. We helped pioneer the value-based healthcare model—where hospitals and physicians are paid based on patient outcomes—because our company was founded on the belief that insurers need to be true partners in the health system. Work Schedule This position requires three days per week in office (Tues/Wed/Thurs) at 100 Church St. New York, NY. Operations Analytics Operations Analytics and Reporting is a fast-paced, innovative team. Our mission is to ensure accurate and timely member enrollment and premiums billing. We are looking for curious problem solvers to continue to push us forward. If you’re member-focused, collaborative, and passionate about data, join our growing team of Data Analysts and Data Engineers. Position Summary Modernize existing Python scripts currently running on a virtual machine task scheduler by refactoring them into well-structured, maintainable, and production-ready codebases Rebuild legacy automation using modern Python best practices, including dependency management and packaging with Poetry Improve reliability, readability, and long-term sustainability of analytics and operational workflows, reducing technical debt and operational risk Partner with analytics and operations stakeholders to understand existing workflows, business intent, and system constraints behind current scripts Implement consistent project structures, documentation, logging, and error handling to support future enhancements and smoother handoffs Validate refactored solutions through testing and controlled execution to ensure functional parity with existing scheduled jobs Manage multiple refactoring efforts in parallel while clearly communicating progress, risks, and tradeoffs

Requirements

Experience with Python & SQL
familiarity with scripting, automation, or data workflows
Exposure to GIT/GITHUB or software development best practices (project structure, version control, documentation)
Interest in writing maintainable, production-quality code rather than one-off scripts
Excited to learn how analytics and automation operate in real-world, enterprise environments
Continuous learning mindset and strong problem-solving skills
Graduate students must be enrolled at an accredited institution or have graduated within 12 months of the program
Will not require sponsorship for employment now or in the future
Eligible to work in the U.S.
Minimum 3.0 GPA from an accredited institution

Responsibilities

Modernize existing Python scripts currently running on a virtual machine task scheduler by refactoring them into well-structured, maintainable, and production-ready codebases
Rebuild legacy automation using modern Python best practices, including dependency management and packaging with Poetry
Improve reliability, readability, and long-term sustainability of analytics and operational workflows, reducing technical debt and operational risk
Partner with analytics and operations stakeholders to understand existing workflows, business intent, and system constraints behind current scripts
Implement consistent project structures, documentation, logging, and error handling to support future enhancements and smoother handoffs
Validate refactored solutions through testing and controlled execution to ensure functional parity with existing scheduled jobs
Manage multiple refactoring efforts in parallel while clearly communicating progress, risks, and tradeoffs