Data Intern

MedicaMinnetonka, MN
Hybrid

About The Position

Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for. We're a team that owns our work with accountability, makes data-driven decisions, embraces continuous learning, and celebrates collaboration — because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm and every member feels valued. We are seeking a motivated data intern to support current state systems. This role will focus on building and enhancing automation for critical data quality and validation checks to proactively identify issues and minimize consumer impact, especially for high priority data elements. The intern will work closely with data engineering teams to improve reliability, efficiency, and operational resilience across our data platforms. Key Accountabilities This Internship will focus on building and enhancing automation for critical data quality and validation checks to proactively identify issues and minimize consumer impact, especially for high priority data elements. The intern will work closely with data engineering teams to improve reliability, efficiency, and operational resilience across our data platforms.

Requirements

  • Junior of Senior pursuing a degree in Data engineering fundamentals
  • Strong SQL proficiency
  • Python programming for data processing and automation
  • Experience or interest in automation and data validation frameworks
  • Eligibility to work in the US: Medica does not offer work visa sponsorship for this role. All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States.
  • We are an Equal Opportunity employer, where all qualified candidates receive consideration for employment indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.

Responsibilities

  • building and enhancing automation for critical data quality and validation checks to proactively identify issues and minimize consumer impact, especially for high priority data elements.
  • work closely with data engineering teams to improve reliability, efficiency, and operational resilience across our data platforms.

Benefits

  • competitive medical, dental, vision, PTO, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees.
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