Senior Data Engineer - SQL/Python
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![]() United States, Minnesota, Minnetonka | |
![]() 401 Carlson Parkway (Show on map) | |
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Description
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. Medica is seeking an experienced Sr. Data Engineer with a background in extraction, transformation, and loading (ETL) of data from a variety of sources. These robust and scalable solutions that will support Medica's claims and financial platforms. This role is ideal for an innovative and highly technical thinker who thrives in a mission-driven, healthcare-focused organization and is passionate about ensuring efficiency, scalability, financial integrity and compliance. The ideal candidate is a technical generalist with strong system design expertise and a proven ability to bridge strategy and execution across diverse technologies. Design, build, implement, and maintain data storage structures and processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of sources. Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable efficient, cost-effective consumption and analysis of data. Write complex SQL queries to support analytics needs. Evaluate and recommend tools and technologies for data infrastructure and processing, including modern cloud platforms such as Snowflake, Azure, AWS, and data integration tools like Apache Airflow, dbt, Informatica Intelligent Data Management Cloud (IDMC), and distributed processing frameworks such as Apache Spark. Performs other duties as assigned. Key Accountabilities
In addition to engineering responsibilities, the Data Generalist component of this role includes:
Required Qualifications
Preferred Qualifications
This position is an Office role, which requires an employee to work onsite, on average, 3 days per week. We are open to candidates located near one of the following office locations: Minnetonka, MN, or Madison, WI The full salary grade for this position is $112,400 - $168,600. While the full salary grade is provided, the typical hiring salary range for this role is expected to be between $98,400 - $147,525. Annual salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and/or licensure, the position's scope and responsibility, internal pay equity and external market salary data. In addition to compensation, Medica offers a generous total rewards package that includes competitive medical, dental, vision, PTO, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees. The compensation and benefits information are provided as of the date of this posting. Medica's compensation and benefits are subject to change at any time, with or without notice, subject to applicable law. 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. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. |