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Data Engineer Ml Jobs in Minnesota (NOW HIRING)

UnitedHealth Group

Data Engineer with AI/ML

Minnetonka, MN · On-site +1

$72K - $130K/yr

  • Retirement

We are seeking a highly skilled and motivated Data Engineering Analyst with AI/ML expertise to drive the AI 10.0 initiative. This role blends deep expertise in data engineering, automation, and cloud ...

UnitedHealth Group

Data Engineer with AI/ML

Minnetonka, MN · On-site

$72K - $130K/yr

  • Retirement

We are seeking a highly skilled and motivated Data Engineering Analyst with AI/ML expertise to drive the AI 10.0 initiative. This role blends deep expertise in data engineering, automation, and cloud ...

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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.

Bespoke Labs

Data Engineer

Rochester, MN · On-site

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Duluth, MN · On-site

$127K - $153K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Saint Cloud, MN · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Plymouth, MN · On-site

$119K - $143K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

QBP

Sr Data Engineer BI

Bloomington, MN · Hybrid

$120K - $130K/hr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and ... AI/ML Development & Agentic Workflows [15%] * Design, develop, train, and deploy machine learning ...

Quality Bicycle Products

Sr Data Engineer BI

Bloomington, MN · On-site

$110K - $150K/yr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and ... AI/ML Development & Agentic Workflows [15%] * Design, develop, train, and deploy machine learning ...

Centraprise

ML Engineer

Minneapolis, MN · On-site

* Translate data science prototypes into production-grade ML services and pipelines. * Build training ... Collaborate with Data Engineering on feature pipelines and data contracts. * Own production health ...

HealthPartners

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

  • Medical

  • Retirement

Expert in AI/ML Ops * Interest and desire to contribute to emerging practices around DataOps (CI/CD ... Data engineers perform other duties as required, to meet team sprint goals. At HealthPartners we ...

HealthPartners

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

  • Medical

  • Retirement

Expert in AI/ML Ops * Interest and desire to contribute to emerging practices around DataOps (CI/CD ... Data engineers perform other duties as required, to meet team sprint goals. At HealthPartners we ...

HealthPartners

Data Engineer Senior

Bloomington, MN · On-site

$51.85 - $77.77/hr

  • Medical

  • Retirement

Expert in AI/ML Ops * Interest and desire to contribute to emerging practices around DataOps (CI/CD ... Data engineers perform other duties as required, to meet team sprint goals. About Us At ...

Target

Principal Engineer - AI /ML Platform

Minneapolis, MN · On-site

$168K - $356K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Principal Engineer - ML Operations Platform, you will provide technical leadership in defining ... You will work across engineering, data science, infrastructure, security, and product organizations ...

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All JobsData Engineer Ml JobsData Engineer Ml Jobs in Minnesota

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 are popular job titles related to Data Engineer Ml jobs in Minnesota? For Data Engineer Ml jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Engineer Ml jobs in Minnesota look for? The top searched job categories for Data Engineer Ml jobs in Minnesota are:
What cities in Minnesota are hiring for Data Engineer Ml jobs? Cities in Minnesota with the most Data Engineer Ml job openings:
Data Engineer Ml jobs near you
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.

AI/ML Data Integration Architect / Data Engineer (AI/ML)

Saransh Inc

Minneapolis, MN • On-site

Contractor

Re-posted 24 days ago

Job description

Role: Data Integration Architect / Data Engineer (AI/ML)
Location: Minneapolis, MN (Hybrid)
Job Type: Contract
 
Required 10+ years of experience
 
Position Summary:
  • We are looking for a highly skilled AWS + Databricks professional with a strong background in Artificial Intelligence / Machine Learning (AI/ML) and cloud-based data solutions. 
  • The ideal candidate will serve as a Solution Architect, leading technical designs and implementations across data pipelines, ML workflows, and scalable analytics platforms.
 
Responsibilities: 
  • Design and implement end-to-end ML solutions using AWS and Databricks
  • Architect and optimize data lakes / lakehouses using Delta Lake, S3, Glue, and Spark
  • Manage feature engineering, model training, evaluation, and deployment workflows via MLflow or SageMaker
  • Lead the architecture of scalable AI/ML pipelines
  • Collaborate with Data Engineers, MLOps teams, and business stakeholders to translate ML use cases into production systems
  • Enforce best practices for model governance, data security, and CI/CD in ML environments