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Databricks Software Jobs in Minneapolis, MN (NOW HIRING)

Data Engineer

Eden Prairie, MN · Remote

$72K - $130K/yr

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

Data Engineer

Eden Prairie, MN · On-site

$72K - $130K/yr

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

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Maintain deep expertise in data engineering and modern data architectures and Databricks ... Broad and deep knowledge of technology architecture, infrastructure, network, security and software ...

Showing results 41-60

Databricks Software information

See Minneapolis, MN salary details

$50.1K

$116.7K

$173.3K

How much do databricks software jobs pay per year?

As of Jul 31, 2026, the average yearly pay for databricks software in Minneapolis, MN is $116,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $135,700.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.

Is Databricks a high paying job?

Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

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

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks Jobs?

Databricks Jobs are automated tasks or workflows that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Minneapolis, MN? For Databricks Software jobs in Minneapolis, MN, the most frequently searched job titles are:

Data Engineer

UnitedHealth Group

Eden Prairie, MN • Remote

$72K - $130K/yr

Full-time

Retirement

Posted 13 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

185th of 885 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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