Data Engineer II

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. Design, build, implement, and maintain data storage structures and processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data 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. Performs other duties as assigned. Key Accountabilities Participate on teams that are designing and implementing scalable data pipelines and storage solutions to support enterprise analytics. Ensuring data quality, integrity, and security across all stages of the data lifecycle. Collaborating with team members and stakeholders to define data requirements and translate them into technical specifications. Monitoring and optimizing performance of data systems and ETL processes. Supporting the deployment and maintenance of data infrastructure in cloud environments. Developing and maintaining complex SQL scripts and stored procedures for data transformation and reporting. - Leveraging Informatica IDMC for cloud-native data integration, data quality, and governance workflows. Required Qualifications Bachelor's degree or equivalent experience in related field 3 years of work experience beyond degree Proficiency writing complex SQL and Python queries. Preferred Qualifications Understanding of system design principle and data storage structures, ideally in a cloud-based environment (Azure, SnowPro, Snowflake).

Preferred certifications in:

Microsoft Certified:

(or equivalent cloud) Azure Data Engineer Experience in healthcare, insurance, or other regulated industries. Knowledge of security, privacy, and compliance frameworks (e.g., HIPAA). Strong understanding of systems, data governance standards and hierarchies 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 $78,700 - $134,900. While the full salary grade is provided, the typical hiring salary range for this role is expected to be between $78,700 - $118,020. 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 is 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. 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.