1

Data Analytics Engineer Jobs in Minnesota (NOW HIRING)

Senior Analytics Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

Lead media data engineering initiatives * Build and maintain integrations across major advertising, analytics, and marketing technology platforms. * Develop scalable frameworks for campaign ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

next page

Showing results 1-20

Data Analytics Engineer information

See Minnesota salary details

$43.6K

$127K

$173.8K

How much do data analytics engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data analytics engineer in Minnesota is $127,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $134,700.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Minnesota? The most popular types of Data Analytics Engineer jobs in Minnesota are:
What are popular job titles related to Data Analytics Engineer jobs in Minnesota? For Data Analytics Engineer jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Data Analytics Engineer jobs? Cities in Minnesota with the most Data Analytics Engineer job openings:
Senior Data Analytics Engineer - Remote

Senior Data Analytics Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$91K - $163K/yr

Full-time

Retirement

Posted 2 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

186th of 873 rated healthcare providers


Job description

OptumInsightis improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, andultimately consumers. Our deepexpertisein the industry and innovative technology empower us to help organizations reduce costs while improving risk management,qualityand revenue growth. Ready to help us deliver results that improve lives?Join us to startCaring. Connecting. Growing together.


The Fraud Retrospective Product provides analytic application development and support and consulting for Optum Payment Integrity.  Our analytics team works with our business partners to support data ingestion and analytic processes identifying potential fraudulent activity.  


Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. The roles in this function will cover all primary development activities across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product road maps.


Our Senior Software Engineer position will develop new analytics, enhance existing analytics, and maintain and improve the applications that support these analytics.  Additionally, this position will have the opportunity to conduct analysis research and consulting for new project initiatives across the portfolio the team supports.  Currently most analytics are written in SAS executing in a SAS Grid / Unix environment, but the team is transforming these analytics leveraging open-source tools like Azure, Python, Scala, Spark.


You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.


Primary Responsibilities:

  • Provide realistic effort estimates and project timelines for development and support projects
  • Interpret business requirements and functional specifications and create technical design and technical specifications documents
  • Develop analytic processes following existing standard structures and macros.  Develop for a production environment
  • Conduct data extraction and research studies that may include analyzing, reviewing, trending, and presenting information, based on provided specifications, to support adhoc data request
  • Work with business engagement leaders and technical analysts to develop new and modify existing process documentation and templates
  • Conduct analyses of data elements within existing source data mart schemas
  • Analyze healthcare claims from different data sources and identify data integrity issues
  • Perform unit, system and regression testing for programs for quality assurance
  • Performance tuning of existing applications and analytics
  • Guide and advise developers to identify and improve the efficiency of current programming practices
  • Contribute to knowledge sharing, ideas and information relating to technologies and be a key technical expert within the team
  • Lead/Mentor new and existing team members
  • Continually identify deficiencies in production processes, propose enhancements, and implement those enhancements to increase productivity or reduce manual effort


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:

  • 3 years of experience with SAS
  • 3 years Relational Database experience - Oracle, Teradata, MySQL, and/or Snowflake
  • 3 years of analysis, process, problem solving and critical thinking experience


Preferred Qualifications:

  • 1 years of Healthcare Data Experience
  • UNIX
  • Azure, Python, Spark, or Databricks Experience
  • Experience with SQL
  • Experience with VS Code and GitHub Copilot for AI-assisted development
  • Experience with Agile/Scrum methodology


*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 $91,700 to $163,700 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.


What UnitedHealth Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom