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Data Engineer Ml Jobs in Minnesota (NOW HIRING)

Mlops Engineer - only W2

Minneapolis, MN · On-site

$119K - $143K/yr

Data pre-processing * Batch prediction workflows * Post-processing activities ML Pipeline ... Applying data engineering principles for large-scale data processing Preferred Qualifications

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

Integrate data warehousing solutions like Snowflake and manage large-scale data pipelines ... ML techniques like Prompt Engineering, RAG (Retrieval Augmented Generation) and Agentic AI * 5 ...

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

Integrate data warehousing solutions like Snowflake and manage large-scale data pipelines ... ML techniques like Prompt Engineering, RAG (Retrieval Augmented Generation) and Agentic AI * 5+ ...

Work you'll do As an AI Engineer Consultant on the HC Forward team, you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will ...

Data Strategy-Manager

Minneapolis, MN · On-site

$99K - $232K/yr

... Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data architectures - Knowledge of data ...

Data Architect

Virginia, MN · On-site

$140 - $210/hr

Lead the end‑to‑end design of data architectures supporting analytics, AI/ML, and operational ... Mentor junior architects and engineers while providing technical leadership across engagements ...

AI/ML Engineer Duration: 3-month contract (Could be extended for 6 months before conversion ... domain-specific data into AI systems 4. Agentic AI / AI Agents Experience building AI agents ...

Showing results 21-40

Data Engineer Ml information

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.
What cities in Minnesota are hiring for Data Engineer Ml jobs? Cities in Minnesota with the most Data Engineer Ml job openings:
Infographic showing various Data Engineer Ml job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Principal Data Engineer/Architect - Remote

UnitedHealth Group

Minnetonka, MN • Remote

$112K - $193K/yr

Full-time

Retirement

Re-posted 12 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

188th of 887 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.


You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.


Primary Responsibilities:

As a senior member of the Cloud Data Engineering team, the candidate should provide:

  • The technical leadership for all the data engineering efforts on public cloud for the Optum Rx Data Estate scrum team.
  • Will design and build scalable and cost-effective public cloud (Azure) native solutions as per the business use cases
  • Should be hands-on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks)
  • Standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.) 
  • As a tech lead, he should be responsible for the deliverables of the team working closely with the product owners and the delivery leads
     


You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Engineering Degree in computer science or equivalent experience
  • 10 years of Data Engineering experience
  • 5 years of Data engineering experience in Spark
  • 3 years on Cloud native data engineering technologies 
  • Experience using AI/ML
  • Technical skill sets: 
    • Experience in Dev Ops and CI/CD - Jenkins, Terraform (Azure) and containers (Docker)
    • Work experience on Proof of Concepts for AI/ML
    • Hands-on experience on building data engineering pipelines on Spark/ Data bricks (Azure)
    • Hands-on experience with stream data ingestion /processing with Spark 
    • Hands-on experience on other Azure native data technology stack - Azure Data factory, Synapse, Snowflake
    • Exposure to providing ETL solutions for Azure native stack and in Spark
    • Good exposure on Enterprise Data Lake (Delta Lake) and Data Warehouse concepts 
       


Preferred Qualifications:

  • Experience working with business partners for requirement gathering, scoping, estimation, and execution plan for various capabilities
  • Experience working in an Agile environment with multiple Scrum and Kanban teams
     


*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.


UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.


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