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About this Data Engineer Senior role at Allina Health

Allina Health · Onsite · Allina Commons

Location Address:

2925 Chicago Ave Loading Dock Minneapolis, MN 55407-1321

Date Posted:

October 30, 2026

Department:

16008719 ERA Information Architecture

Shift:

Day (United States of America)

Shift Length:

8 hour shift

Hours Per Week:

40

Union Contract:

Non-Union-NCT

Weekend Rotation:

Occasional

Job Summary:

Allina Health is a not-for-profit health system that cares for individuals, families and communities throughout Minnesota and western Wisconsin. If you value putting patients first, consider a career at Allina Health. Our mission is to provide exceptional care as we prevent illness, restore health and provide comfort to all who entrust us with their care. This includes you and your loved ones. We are committed to providing whole person care, investing in your well-being, and enriching your career.

Key Position Details:

  • 1.0 FTE (80 hours per two-week pay period)
  • 8-hour day shift
  • Occasional weekend rotation
  • Candidates must be located within commuting distance of the Allina Commons(Minneapolis, MN)

Strong Databricks experience is highly preferred, including:

  • Databricks experience, including notebooks
  • Experience with Azure Dev Ops
    • GIT integration and best practices
    • Pipeline development and support
  • Familiarity with data ingestion and integration concepts and best practices
  • Strong operational mindset to consider sustainability and scalability against enhancements

Job Description:

Develops and deploys data assets using Azure Data Factory, Databricks, and Unity Catalog, including configuring workflows and jobs. Translates legacy SQL logic into optimized Spark SQL and Python code, build Analytics Mart notebooks, and ensures functional equivalency across platforms. Validates outputs with business stakeholders, integrating data with reporting tools like Power BI, and optimizing performance for scalable analytics. Maintains Epic Cogito infrastructure. Maintains clear documentation for data models and transformation logic, supports data governance, and migrates legacy applications to modern platforms like Dataverse. Leads performance optimization through code audits, real-time data processing enhancements, and continuous improvement initiatives. Ensures robust data governance, security, and compliance with regulatory standards.
Principle Responsibilities
  • Data Architecture & Engineering
    • Leads data warehouse migration efforts for specific sources, source marts, and SAMS.
    • Architects and refactors legacy data pipelines using Azure Data Factory, Python, and Spark SQL.
    • Develops reusable code assets for Data Engineers and Analytics Engineers.
    • Defines environment infrastructure for integration of on-prem and internet computing systems.
    • Determines data platform architecture, technology, and tools.
    • Improves architecture by evaluating emerging technologies such as high availability web applications.
  • Data Modeling & Transformation
    • Generates object definition notebooks and deploy to Databricks Unity Catalog for assigned data marts.
    • Translates business logic, calculations, and metric definitions from legacy SQL-based marts into optimized Python and Spark SQL assets.
  • Performance Optimization & Continuous Improvement
    • Conducts code audits to ensure optimal processing and best practices.
    • Enhances system efficiency for real-time data access and processing.
    • Troubleshoots and resolves data storage issues.
    • Tracks and evaluates emerging technologies for business applicability.
    • Contributes to strategic plans and reviews for operational improvements.
    • Stays updated through education, publications, and professional organizations.
  • Data Governance, Security & Compliance
    • Implements frameworks to protect sensitive data and ensure compliance (e.g., GDPR, HIPAA).
    • Ensures security of all information systems and digital data.
    • Ensures adherence to government regulations and guidelines.
    • Establishes standards for data quality, consistency, and regulatory compliance.
    • Maintains databases by determining structural requirements and installing solutions.
  • Other duties as assigned.

Required Qualifications
  • Bachelor's degree in computer science, engineering or related field
  • 5+ years experience in data engineering or related role
  • 5+ years experience in SQL and Python

Preferred Qualifications
  • Master's degree in computer science, engineering or related field
  • 3+ years experience with Azure Cloud Platform
  • 3+ years experience with Epic Cogito

Physical Demands
  • Sedentary:
  • Lifting weight up to 10 lbs. occasionally, negligible weight frequently

Pay Range

Pay Range: $54.31 to $75.14 per hour

The pay described reflects the base hiring pay range. Your starting rate would depend on a variety of factors including, but not limited to, your experience, education, and the union agreement (if applicable). Shift, weekend and/or other differentials may be available to increase your pay rate for certain shifts or work.

  

Allina Health is committed to adhering with all applicable local, state and federal minimum wage requirements.

Benefit Summary


Allina Health believes the best way to provide safe and compassionate care for our patients is by nurturing the passion of those who care for them. That’s why we devote extraordinary resources to help you grow and thrive — not only as a professional but also as a whole person. When you join our team, you have access to a wealth of valuable employee benefits that support the total well-being — mind, body, spirit and community — of you and your family members.


Allina Health is all in on your well-being. Because well-being means something different to everyone, our award-winning program provides you with the resources you need to help you navigate your personal journey. This includes well-being dollars, dedicated well-being navigators, and many programs, activities, articles, videos, personal coaching and tools to support you on your journey.


We are focused on creating an inclusive workplace so everyone can see themselves as part of our care team. Our care teams are as diverse as the communities we serve and proud to be contributing to the mission of a leading health care organization. Our pioneering approach to well-being helps every member of our care team feel a deep sense of connection and joy in their work.


Benefits include:

  • Medical/Dental
  • PTO/Time Away
  • Retirement Savings Plans
  • Life Insurance
  • Short-term/Long-term Disability
  • Voluntary Benefits (vision, legal, critical illness)
  • Tuition Reimbursement or Continuing Medical Education as applicable
  • Student Loan Support Benefits to navigate the Federal Public Service Loan Forgiveness Program
  • Allina Health is a 501(c)(3) eligible employer

*Benefit eligibility/offerings are determined by FTE and if you are represented by a union.

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How this Data Engineer salary compares

This role pays $134,628/yr — in line with the typical range for Data Engineer roles.

$101,836 median $165,000 $240,000

Typical range $129,730–$193,500/yr, from 1,787 comparable Data Engineer listings on JobsRadar (pay annualized to USD). See Data Engineer salary insights →

About Allina Health

People at Allina Health have a career of making a difference in the lives of the millions of patients we see each year at our 90+ clinics, 12 hospitals and through a wide variety of specialty care services in Minnesota and western Wisconsin. We’re a not-for-profit organization committed to enriching your career by providing ongoing training, competitive compensation, support for work-life balance and ways to give back to the communities we serve. Join our team of 27,000+ employees – your career opportunities are limitless! Diversity creates a healthier atmosphere for our employees, patients, and community. Allina Health is proud to be an Equal Employment Opportunity employer, and will make e

See all jobs at Allina Health →

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