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Remote Data Mining Jobs in Minnesota (NOW HIRING)

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 and AI platforms on Azure. This role will focus on enabling enterprise data pipelines, real-time ...

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 are looking for engineers, senior engineers and leaders in data ecosystems, to join our growing ...

Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water ...

Data Analyst Senior

Minneapolis, MN · On-site +1

$107K - $155K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

Data Engineer | TELECOMMUTE

Minneapolis, MN · On-site +1

$119K - $143K/yr

Creating scalable data pipelines for reporting teams from the data warehouse to our BI tool Team: * We are a team of 9 Data Engineers and Analysts + Engineering Managers/Leaders * We have 1 product ...

Sr. Data Analyst | TELECOMMUTE

Minneapolis, MN · On-site +1

$89K - $113K/yr

Collaborating with Data Engineers on the data exports required from data pipelines * Analyzing data and combining datasets to develop reporting products/solutions Team: * We are a team of 9 Data ...

Data Engineer with AI/ML

Minnetonka, MN · On-site +1

$72K - $130K/yr

This role blends deep expertise in data engineering, automation, and cloud-native development with hands-on experience in advanced AI/ML techniques, Large Language Models (LLMs), prompt engineering ...

Showing results 41-60

Remote Data Mining information

See Minnesota salary details

$45.1K

$161.6K

$238.5K

How much do remote data mining jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data mining in Minnesota is $161,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,800.00 and $166,500.00 per year, depending on experience, location, and employer.

What is remote data mining?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

How do I become a remote data mining?

To become a remote data miner, you typically need a strong foundation in data analysis, statistics, and programming languages such as Python or R. Gaining experience with data mining tools, databases, and machine learning techniques, along with relevant certifications or a degree in a related field, can improve your prospects for remote work in this role.

What skills and qualifications are needed for remote data mining?

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

What are the most commonly searched types of Data Mining jobs in Minnesota? The most popular types of Data Mining jobs in Minnesota are:
What job categories do people searching Remote Data Mining jobs in Minnesota look for? The top searched job categories for Remote Data Mining jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Mining jobs? Cities in Minnesota with the most Remote Data Mining job openings:
Infographic showing various Remote Data Mining 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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $161,621 per year, or $77.7 per hour.

Data Engineer

UnitedHealth Group

Eden Prairie, MN • Remote

$72K - $130K/yr

Full-time

Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th 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 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. 

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data and AI platforms on Azure. This role will focus on enabling enterprise data pipelines, real-time processing, and AI/ML model integration using Databricks and modern cloud technologies.

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Design and develop scalable data pipelines using Databricks, Apache Spark, and Python on Azure
  • Build cloud-native solutions leveraging Azure Data Lake, Azure Data Factory, and Delta Lake
  • Collaborate with Data Science and AI teams to operationalize ML models and embed them into production workflows
  • Develop and maintain feature stores, model input pipelines, and real-time/streaming frameworks
  • Ensure data quality, governance, and security across the full data lifecycle
  • Build reusable frameworks, accelerators, and automation scripts to improve engineering efficiency
  • Optimize performance, scalability, and reliability of data workflows and batch/streaming pipelines
  • Participate in Agile development processes, including sprint planning, code reviews, and CI/CD pipelines
  • Provide production support and on-call coverage, ensuring system stability and rapid issue resolution
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions 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 in Computer Science, Engineering, or IT related field
  • 6 years of experience in Data Engineering with Python/PySpark
  • 6 years of experience in building ETL/ELT pipelines using Databricks
  • 6 years of experience working in Agile environments
  • 5 years of strong experience in SQL / PL-SQL
  • 4 years of experience with Azure Databricks and Delta Lake architecture
  • 4 years of hands-on experience with CI/CD (GitHub Actions, Azure DevOps)
  • 3 years of hands-on experience with Azure cloud services (ADF, ADLS, Databricks)
  • 2 years of experience with Databricks Delta Live Tables (DLT)
  • 2 years of experience with unit testing, validation, and pipeline testing frameworks

Preferred Qualifications:

  • Familiarity with medallion architecture and SCD2 implementations
  • AI builder: Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI 
  • Experience building enterprise-scale data platforms
  • Strong skills in performance tuning and debugging large-scale pipelines
  • Experience with real-time/streaming frameworks (Structured Streaming)
  • Ability to work in distributed, cross-functional global teams
  • Exposure to GenAI tools (e.g., GitHub Copilot) for engineering productivity
  • Strong understanding of secure coding practices and vulnerability remediation
  • Proven ability to analyze logs, troubleshoot production issues, and optimize performance
  • Demonstrated capability to design and deploy AI-powered solutions responsibly

*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 $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. 

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

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.

#RPO #GREEN


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