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Lead Data Generalist​/Sr. Data Engineer

Job in Hopkins, Hennepin County, Minnesota, 55305, USA
Listing for: Medica
Part Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 98400 - 168600 USD Yearly USD 98400.00 168600.00 YEAR
Job Description & How to Apply Below
Position: Lead Data Generalist/Sr. Data Engineer -

Overview

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.

Key Responsibilities
  • 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.
Data Generalist responsibilities
  • Performing exploratory data analysis and generating actionable insights.
  • Creating dashboards and visualizations using tools like Power BI, Tableau, or Excel.
  • Collaborating with cross-functional teams to align data efforts with business goals.
  • Automating data workflows using scripting languages such as Python or R.
  • Supporting business intelligence initiatives and translating data into strategic recommendations.
  • Documenting data processes and contributing to data governance standards.
  • Applying AI and machine learning techniques to enhance predictive analytics, automate decision-making, and uncover deeper insights from complex datasets.
  • Utilizing AI tools and platforms such as Tensor Flow, Azure Machine Learning, scikit-learn, and PyTorch to build and deploy models that support enterprise analytics and innovation.
Required Qualifications
  • Bachelor s degree or equivalent experience in related field
  • 5 years of work experience beyond degree
  • Proficient use of SQL
Preferred Qualifications
  • Microsoft Certified:
    Azure Data Engineer
  • Microsoft Certified:
    Azure Fundamentals
  • Snowflake Snow Pro Core Certification
  • Snowflake Advanced Architect Certification
Employment and Location

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

Compensation and Benefits

The full salary grade for this position is $98,400 - $168,600. The typical hiring salary range is between $98,400 - $147,525. In addition to base compensation, this position may be eligible for incentive plan compensation. Medica offers a generous total rewards package including medical, dental, vision, PTO, holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits.

The compensation and benefits information is provided as of the date of this posting and are subject to change at any time, with or without notice, subject to applicable law.

Eligibility and Equal Opportunity

Note: 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.

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