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Remote Ai Data Engineer Jobs in Minnesota (NOW HIRING)

Principal Data Engineer

Staples, MN · Remote

$114K - $142K/yr

Principal Data Engineer Salary Range: Principal Data Engineer (Grade 17, Exempt). Annual salary ... This is a remote position, and is subject to Sourcewell's telecommuting policies and procedures.

Principal Data Engineer

Staples, MN · On-site +1

$114K - $142K/yr

Principal Data Engineer Salary Range: Principal Data Engineer (Grade 17, Exempt). Annual salary ... This is a remote position, and is subject to Sourcewell's telecommuting policies and procedures.

Senior Data Engineer

Minneapolis, MN · Remote

$110K - $150K/yr

As a Senior Data Engineer, you will take a lead technical role on our core data platform: designing ... AI-Enabled Data Patterns: Knowledge of embeddings, vector databases, document chunking, semantic ...

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

... and AI workloads. Architect robust database schemas, partition strategies, indexing policies ... Build CI/CD pipelines (GitHub Actions, Azure DevOps) for data models, SQL objects, ETL workflows ...

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

The Optum Rx team is seeking a Sr Data Engineer to manage, optimize, and modernize critical ... You will leverage on-prem and cloud-native database services, continuous automation, and AI-driven ...

AI/ML Engineer

Eden Prairie, MN · Remote

$98K - $176K/yr

Working closely with cross-functional software engineers, data scientists, and business ... a remote-friendly environment, we encourage you to apply. You'll enjoy the flexibility to ...

Showing results 21-40

Remote Ai Data Engineer information

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 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 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:

Principal Data Engineer/Architect - Remote

UnitedHealth Group

Minnetonka, MN • Remote

$112K - $193K/yr

Full-time

Retirement

Re-posted 6 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

192nd of 898 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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