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Remote Ai Data Engineer Jobs in Minnesota (NOW HIRING)

Senior Data Engineer

Eden Prairie, MN · Remote

$91K - $163K/yr

The Data Engineer makes the data usable, trusted, secure, and repeatable. This person handles data ... In enterprise AI transformation, this role is often the difference between a flashy prototype and a ...

Data Engineer with AI/ML

Minnetonka, MN · On-site +1

$72K - $130K/yr

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 ...

Data Engineer

Eden Prairie, MN · Remote

$72K - $130K/yr

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data ... Collaborate with Data Science and AI teams to operationalize ML models and embed them into ...

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.

Sr. Data Engineer

Minneapolis, MN · Remote

$110K - $150K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Deliver the data infrastructure that makes AI-powered loyalty products possible. Not by building ...

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We ... Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Codex, GitHub ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Demonstrated ability to use AI and automation in software engineering Preferred Qualifications * CS ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Demonstrated ability to use AI and automation in software engineering Preferred Qualifications * CS ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Demonstrated ability to use AI and automation in software engineering Preferred Qualifications * CS ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Demonstrated ability to use AI and automation in software engineering Preferred Qualifications * CS ...

Data Engineer

Minneapolis, MN · On-site +1

$75.75 - $83.33/hr

Remote Data Analyst -Finance Data Platform Purpose: Support data validation, data reconciliation ... Strong communication and collaboration skills with the ability to work closely with engineering ...

... simulation, AI, data analysis, and programming, along with the ability to translate complex ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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Showing results 1-20

Remote Ai Data Engineer information

What are some common challenges faced by remote AI data engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

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

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.
What are the most commonly searched types of Ai Data Engineer jobs in Minnesota? The most popular types of Ai Data Engineer jobs in Minnesota are:
What are popular job titles related to Remote Ai Data Engineer jobs in Minnesota? For Remote Ai Data Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Engineer jobs in Minnesota look for? The top searched job categories for Remote Ai Data Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Ai Data Engineer jobs? Cities in Minnesota with the most Remote Ai Data Engineer job openings:

Senior Data Engineer

UnitedHealth Group

Eden Prairie, MN • Remote

$91K - $163K/yr

Full-time

Retirement

Re-posted 20 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, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, 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.

Position Summary:

The Data Engineer makes the data usable, trusted, secure, and repeatable. This person handles data discovery, access, pipelines, transformations, quality checks, retrieval layers, metadata, and data-product readiness.

In enterprise AI transformation, this role is often the difference between a flashy prototype and a solution that can scale.

You will have the flexibility to work a hybrid schedule as you take on some tough challenges.

Primary Responsibilities:

  • Identify required data sources, systems of record, reference data, documents, logs, and operational data
  • Assess data availability, quality, completeness, sensitivity, lineage, and access constraints
  • Build pipelines, transformations, data products, retrieval indexes, or semantic layers needed by the solution
  • Partner with AI Engineer on RAG, embeddings, vector stores, grounding strategies, and data refresh patterns
  • Partner with security, privacy, compliance, and data governance teams to ensure proper data handling
  • Create synthetic, masked, de-identified, or test datasets where needed
  • Build data quality checks, monitoring, lineage documentation, and exception-handling patterns
  • Support control-group testing and value measurement by ensuring baseline and treatment data are reliable
  • Prepare data assets and documentation for steady-state ownership

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:

  • Bachelor's degree OR 5 years of software engineering experience
  • 5 years of experience in data engineering skills across pipelines, SQL, APIs, batch/streaming patterns, and cloud data platforms
  • 3 years of experience with data modeling, data quality, lineage, metadata, and governance
  • 2 years of experience with AI data patterns, including embeddings, vector databases, document chunking, semantic retrieval, and feature preparation
  • 2 years of experience in understanding enterprise data security, privacy, access control, and compliance
  • Ability to move quickly while preserving trust and repeatability

Preferred Qualifications:

  • Data engineer, analytics engineer, platform data engineer, data product engineer, or FDE with strong data specialization
  • Experience working with complex enterprise data environments
  • Experience supporting AI, analytics, reporting, automation, or workflow products

Success Measures:

  • Required data is available and trusted
  • Data pipelines and retrieval layers are repeatable and supportable
  • AI outputs are grounded in the right information
  • Data quality issues are identified early
  • Control-group and value-measurement data are reliable
  • Data assets are ready for production and steady-state handoff

*All Telecommuters 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 $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. 

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.

#RPO #Yellow


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