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Non Exempt Databricks Data Engineer Jobs in Maple Grove, MN

Sr Azure Data Engineer (12+ yrs)

Minneapolis, MN · On-site

$57.50 - $71.25/hr

Title: Azure Data Engineer Location: Minneapolis, MN (Onsite from Day 1) Job Type: Contract ... Azure Databricks Responsibilities: * Design and develop scalable architectures using Azure ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

As a Data Engineer, you will have the unique opportunity to design and establish a modern data ... Create user-friendly data products and views that enable non-SQL-fluent business users to self ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

As a Data Engineer, you will have the unique opportunity to design and establish a modern data ... Create user-friendly data products and views that enable non-SQL-fluent business users to self ...

Databricks Lead

Minneapolis, MN · On-site

$107K - $140K/yr

Lead the design and development of scalable data engineering solutions using Databricks . * Develop and optimize PySpark, Spark SQL, and Delta Lake pipelines. * Build and manage ETL/ELT workflows and ...

You will drive the evolution of our data architecture, ensuring it meets both functional and non ... S3, BigQuery, Databricks, EMR, Snowflake) * Proficiency in API development using REST, GraphQL, or ...

The ideal candidate will have strong expertise in Azure SQL, Azure Data Lake, Azure Databricks ... engineering, cloud migration, and enterprise data platform experience are encouraged to apply.

Casual Nonexempt

Minneapolis, MN · On-site

$15.25 - $100/hr

About the Job Posting Title: 2025-2026 Non-Exempt Temp/Casual: Speech-Language-Hearing Sciences The ... and data entry skills About the Department The department offers internationally recognized ...

Louis | Mercy Clinic Towers A & B Full-Time | 40 Hours per Week | Non-Exempt We're a Little ... Accurately maintain and manage patient records and imaging data in PACS and other electronic ...

Casual Nonexempt

Minneapolis, MN · On-site

$15.25 - $44.72/hr

About the Job The Department of Electrical and Computer Engineering regularly seeks applicants for casual (fewer than 14 hours per week) positions. These positions include academic and/or ...

Casual Nonexempt

Minneapolis, MN · On-site

$15.25 - $50/hr

About the Job Job Code 0005 Non-Exempt Temporary/Casual AY 26-27 Continuous Posting for Kinesiology ... processing and data entry skills About the Department The College of Education and Human ...

Casual Nonexempt

Minneapolis, MN · On-site

$15.25 - $60/hr

The Department of Biomedical Engineering at the University of Minnesota occasionally needs to hire ... analyze data (50%) Qualifications Required Qualifications: High school or one year relevant ...

Temporary Nonexempt

Minneapolis, MN · On-site

$15.25 - $60/hr

About the Job The Department of Biomedical Engineering at the University of Minnesota occasionally ... Gather and analyze data (50%) This does not constitute a posting for vacancies, but establishes a ...

Showing results 41-60

Non Exempt Databricks Data Engineer information

See Maple Grove, MN salary details

$45.6K

$132.8K

$181.8K

How much do non exempt databricks data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for non exempt databricks data engineer in Maple Grove, MN is $132,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $140,800.00 per year, depending on experience, location, and employer.

What is the difference between Non Exempt Databricks Data Engineer vs Non Exempt Data Analyst?

AspectNon Exempt Databricks Data EngineerNon Exempt Data Analyst
CertificationsDatabricks certifications, SQL, cloud platform skillsExcel, SQL, data visualization tools
Work EnvironmentCloud-based data platforms, big data environmentsBusiness intelligence tools, spreadsheets, reports
Employer & IndustryTech, finance, healthcare using big data solutionsMarketing, retail, finance analyzing data trends

Non Exempt Databricks Data Engineers focus on building and maintaining data pipelines using Databricks and cloud platforms, often working with big data. Non Exempt Data Analysts interpret data to generate reports and insights. While both roles require SQL skills, Data Engineers need cloud and big data expertise, whereas Data Analysts focus on data visualization and reporting.

What job categories do people searching Non Exempt Databricks Data Engineer jobs in Maple Grove, MN look for?

The top searched job categories for Non Exempt Databricks Data Engineer jobs in Maple Grove, MN are:

What cities near Maple Grove, MN are hiring for Non Exempt Databricks Data Engineer jobs?

Cities near Maple Grove, MN with the most Non Exempt Databricks Data Engineer job openings:

Senior Data Engineer (Analytics)

UnitedHealth Group

Eden Prairie, MN • On-site

$91K - $163K/yr

Full-time

Retirement

This job post has expired today. 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

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, 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.
As a Senior Data Engineer on the UHC Core Data KTLO team, you will join our dynamic technology organization in Eden Prairie, MN, dedicated to building and optimizing robust data pipelines and systems that power critical healthcare platforms. In this role, you will design and deliver modern data and AI-powered solutions, platforms, and automations for enterprise scale. You will work with state-of-the-art technologies such as Python, Spark, Scala, and Kafka to build scalable, high-performance data processing pipelines and apply data warehousing and modeling best practices. You will play a key role in driving innovation by identifying opportunities to streamline workflows, automate tasks, and leverage advanced tools to address complex business challenges. Focus on KTLO activities, including vulnerability remediation, tool and version upgrades, data security, and platform stability. Additionally, support Azure Data Factory pipelines, Databricks workloads, and cloud components such as Blob Storage and AzCopy.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
  • Design, develop, and maintain scalable data pipelines using Python, PySpark, SQL, and Databricks
  • Build and support batch and streaming data solutions using Kafka and Azure Data Factory
  • Support KTLO activities including production support, incident resolution, vulnerability remediation, platform upgrades, and system reliability
  • Implement automation and AI-enabled solutions to improve engineering efficiency and operational processes
  • Optimize data models, queries, and large-scale data processing workloads
  • Collaborate with business and technology partners to deliver high-quality data solutions
  • Ensure compliance with security, governance, and healthcare data privacy requirements
  • Contribute to CI/CD, monitoring, and cloud modernization initiatives
  • Apply and promote data warehousing, data modeling, and database design best practices
  • 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:
  • 5+ years of experience in Data Engineering, Software Engineering, or a related field
  • 3+ years of experience with Python, SQL, Spark/PySpark, and Databricks
  • 3+ years of experience with data warehousing, dimensional modeling, and database design
  • 2+ years of experience with Azure Data Factory, Azure Data Lake, or related cloud data services
  • 2+ years of experience with Apache Kafka or streaming technologies
  • 2+ years of production support and KTLO experience, including troubleshooting and platform maintenance
  • 1+ years of experience building data pipelines using Databricks Medallion Architecture
  • 1+ years of experience with CI/CD, and automation practices

Preferred Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, or related field
  • Experience with Azure cloud technologies
  • Experience with Airflow for workflow orchestration
  • Experience with Docker, Kubernetes, Terraform, or Infrastructure as Code
  • Experience with Power BI, Tableau, or Looker
  • Experience working with healthcare data and HIPAA-regulated environments
  • Experience with relational and NoSQL databases such as PostgreSQL, Cosmos DB, MongoDB, or Snowflake
  • Strong analytical, problem-solving, and communication skills

*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 - $163,700 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.
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