Tech Lead / Data Engineer III

Medica is seeking an experienced  Tech Lead / Data Engineer III. This role is ideal for an innovative and strategic thinker with a depth of experience in enterprise data and broader cloud-based data engineering initiatives. This individual is someone who thrives in a mission-driven, healthcare-focused organization and is passionate about ensuring efficiency, scalability, financial integrity and compliance.

Key Responsibilities :

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 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.

Key Accountabilities :

• 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 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.

In addition to engineering responsibilities, the Data Generalist component of this role includes :

Qualifications :

Skills and Abilities

This position is an Office role, which requires an employee to work onsite at our Minnetonka, MN office, on average, 3 days per week.

The full salary grade for this position is $100,300 - $172,000. While the full salary grade is provided, the typical hiring salary range for this role is expected to be between $100,300 - $150,465. 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 base compensation, this position may be eligible for incentive plan compensation in addition to base salary. 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.