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Data Science Engineer Jobs in Minnesota (NOW HIRING)

Data Engineer Principal

Bloomington, MN

$115.10K - $138.20K/yr

Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand * Collaborate with other engineers to ...

Senior AI Engineer - SFL Scientific

Minneapolis, MN · On-site

$109.10K - $149.80K/yr

Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience • 4+ years of experience working in data engineering, data science, software ...

Senior Director of Data

Minneapolis, MN · On-site +1

$180K - $225K/yr

This leader will have responsibility for all data functions (data engineering, data analytics, data science, and AI) inside our Prevention business and will partner closely with senior executives and ...

Bachelor's degree in statistics, data science, mathematics or quantitative methods and at least ... At least two years of experience with mainstream programming languages, such as Java, R, Python, or ...

Data Scientist III

Minneapolis, MN · On-site

$78.80K - $131.30K/yr

Bachelor's degree in statistics, data science, mathematics or quantitative methods and at least ... At least two years of experience with mainstream programming languages, such as Java, R, Python, or ...

Data Scientist III

Minneapolis, MN · On-site

$78.80K - $131.30K/yr

Bachelor's degree in statistics, data science, mathematics or quantitative methods and at least ... At least two years of experience with mainstream programming languages, such as Java, R, Python, or ...

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The successful candidate will work cross-functionally with data architects, AI/ML engineers, data scientists, analysts, and domain experts to design and implement modern data engineering solutions.

Databricks Data Engineer

Minneapolis, MN

$119.50K - $143.50K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics * 3+ years of experience in data engineering, extract, transform, load (ETL) ...

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Showing results 1-20

Data Science Engineer information

See Minnesota salary details

$43.6K

$127K

$173.8K

How much do data science engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for data science engineer in Minnesota is $127,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $134,700.00 per year, depending on experience, location, and employer.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.
What job categories do people searching Data Science Engineer jobs in Minnesota look for? The top searched job categories for Data Science Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Data Science Engineer jobs? Cities in Minnesota with the most Data Science Engineer job openings:
Infographic showing various Data Science Engineer job openings in Minnesota as of May 2026, with employment types broken down into 63% Full Time, 33% Part Time, 2% Temporary, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $127,046 per year, or $61.1 per hour.
Data Engineer Principal

Data Engineer Principal

HealthPartners

Bloomington, MN

$115.10K - $138.20K/yr

Other

Medical, Retirement

Posted 24 days ago


HealthPartners rating

7.8

Company rating: 7.8 out of 10

Based on 126 frontline employees who took The Breakroom Quiz

131st of 864 rated healthcare providers


Job description

HealthPartners is hiring a Data Engineer, Principal. Our mission is to provide simple and affordable healthcare. HealthPartners teams use data to improve patient and member experience, improve health, and reduce the per capita cost of health care. HealthPartners data engineers are responsible for building, managing and optimizing data pipelines that facilitate data movement in service of these goals by implementing and testing methods (or build systems) that improve data reliability and quality. Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading practices in the field, and develop processes to effectively store, manage and deliver data. As part of their role, data engineers are responsible for reducing manual data work and improving productivity; they employ and test innovative tools, techniques and architectures to detect patterns and automate common or repetitive data preparation and integration tasks.

ACCOUNTABILITIES:

  • All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning.
  • Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand
  • Collaborate with other engineers to design technology solutions that achieve measurable results at scale
  • Collaborate with data scientists to train, develop and operationalize learning models
  • Provide technical thought leadership for efficient data pipeline processes, warehouse architecture and business intelligence functions.
  • Identify, design and implement software architecture to manage software development tasks associated with developing, debugging, or designing software applications, operating systems, and databases according to provided design specifications.
  • Build enhancements within an existing software architecture and envision future improvements to the architecture.
  • Assist in the development of short, medium, and long-term plans to achieve strategic objectives.
  • Guide, mentor, influence, and adopt a cloud-first modern data architectural direction, and consistently adopt the associated standards and best practices
  • Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (such as new technologies and upgrades).
  • Collaborate with cross-function engineering teams to design interfaces that support data integration with internal and external platforms
  • Data engineers perform other duties as required, to meet team sprint goals

REQUIRED SKILLS/ QUALIFICATIONS:

  • Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field AND 4 or more years of experience in business analytics, data science, software development, data modeling and/or data engineering work OR Master's Degree in Computer Science, Math, Software is acceptable
  • 10 or more years of programming experience with command in at least two or more of the following programming languages: SQL, Python, Java, R or Spark
  • Expert proficiency in SQL; experience with Oracle, PostgreSQL, MySQL, or Microsoft SQL Server
  • 10 or more years of experience using a combination of tools such as Azure Data Factory, Synapse, Data Explorer, App Insights, Power BI, and Databricks
  • 3 or more years of experience using Azure CosmosDB and Azure Data Lake Storage
  • Must be motivated, self-driven, curious, and creative
  • Proven ability to lead projects and teams with minimal guidance
  • Must be skilled communicator, and demonstrate an ability to work with end users and business leaders
  • Demonstrate the ability to support and complement the work of a diverse development and/or operations team
  • Lead a collaborative, cross-functional team, Active participation in sprint reviews
  • Expert and a minimum of five year's experience in the following domains: Data management, software engineering, I&O (infrastructure and operations)

PREFERRED QUALIFICATIONS:

  • Knowledge of health care operations
  • Exposure to agile/scrum
  • Ability to work in a hybrid cloud environment consisting of on premise and public cloud infrastructure. An ideal candidate will have experience with one or more of the following skill sets
    • Expert in Relational databases like Oracle, SQL server
    • Expert in Optimizing and tuning SQL/Oracle queries, stored procedures and triggers
    • Expert in Python (numpy, pandas, matplotlib etc) and Jupyter notebooks for exploratory data analysis, machine learning, and process automation
    • Expert in areas of CI/CD, Continuous testing, and site reliability engineering.
    • Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps.
    • Expert in event streaming tools like NiFi, Kafka and Flink
    • Expert in data processing tools, like Apache's Sqoop, Spark and Hive
    • Expert in Document or NoSQL datastores, particularly MongoDB
    • Expert in Power BI data models using advanced Power Query and DAX
    • Expert in in AI/ML Ops
  • Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.)
  • Collaborate effectively with product management, program management, engineers, and stakeholders.
  • Excellent analytical and critical thinking skills
  • Ability to influence without authority and thrive in an ambiguous environment.

At HealthPartners we believe in the power of good - good deeds and good people working together. As part of our team, you'll find an inclusive environment that encourages new ways of thinking, celebrates differences, and recognizes hard work.

We're a nonprofit, integrated health care organization, providing health insurance in six states and high-quality care at more than 90 locations, including hospitals and clinics in Minnesota and Wisconsin. We bring together research and education through HealthPartners Institute, training medical professionals across the region and conducting innovative research that improve lives around the world.

At HealthPartners, everyone is welcome, included and valued. We're working together to increase diversity and inclusion in our workplace, advance health equity in care and coverage, and partner with the community as advocates for change.

Benefits Designed to Support Your Total Health
As a HealthPartners colleague, we're committed to nurturing your diverse talents, valuing your dedication, and supporting your work-life balance. We offer a comprehensive range of benefits to support every aspect of your life, including health, time off, retirement planning, and continuous learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and financially, so you can continue delivering exceptional care.

Join us in our mission to improve the health and well-being of our patients, members, and communities.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identify, status as a veteran and basis of disability or any other federal, state or local protected class.


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