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Databricks Software Jobs in Minneapolis, MN (NOW HIRING)

Senior Software Engineer

Edina, MN · On-site

$102K - $179K/yr

Validate, test, and optimize software solutions, including AI-generated code, to ensure performance ... Experience with Databricks, Snowflake, Azure AI Foundry, observability platforms, monitoring ...

Enterprise AI Architect

Eden Prairie, MN · On-site

$180K - $200K/yr

... Databricks Genie, Snowflake Cortex, and modern AI-powered software delivery practices. Key Responsibilities 1. Enterprise AI & Solution Architecture * Lead the architecture, design, and ...

Senior Engineer (e-MG)

Minneapolis, MN · On-site +1

$127K - $168K/yr

Develop Software Work independently, as well as collaboratively with team, in developing core ... Modeling data in Snowflake and Databricks; * Building reusable frameworks to reduce manual effort;

New

Senior Engineer (e-MG)

Minneapolis, MN · On-site

$127K - $168K/yr

Develop Software • Work independently, as well as collaboratively with team, in developing core ... Modeling data in Snowflake and Databricks; * Building reusable frameworks to reduce manual effort;

New

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

... Power BI, and Databricks (or similar) * Three (3) years of experience in the areas of Graph ... Data management, software engineering, I&O (infrastructure and operations) Preferred Qualifications:

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

... Power BI, and Databricks (or similar) * Three (3) years of experience in the areas of Graph ... Data management, software engineering, I&O (infrastructure and operations) Preferred Qualifications:

Data Engineer Senior

Bloomington, MN · On-site

$51.85 - $77.77/hr

... Power BI, and Databricks (or similar) * Three (3) years of experience in the areas of Graph ... Data management, software engineering, I&O (infrastructure and operations) Preferred Qualifications:

Showing results 21-40

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 Aug 16, 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 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.

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 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:

Senior Software Engineer

Vizient, Inc.

Edina, MN • On-site

$102K - $179K/yr

Full-time

Re-posted 18 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary:
In this role, you will design, develop, and support scalable backend systems, cloud infrastructure, and data platform capabilities that power AI/ML products and healthcare analytics solutions. You will collaborate with AI/ML engineers, data scientists, product teams, and clients to deploy machine learning models, LLM applications, and intelligent automation solutions into production. You will leverage modern cloud technologies, infrastructure-as-code practices, and AI-assisted development tools to deliver secure, reliable, and maintainable software while contributing to engineering standards, operational excellence, and continuous innovation.
Responsibilities:
  • Design, develop, and maintain backend services, APIs, distributed systems, and platform components that support AI/ML applications and healthcare analytics solutions.
  • Build and support cloud infrastructure, containerized environments, CI/CD pipelines, and deployment workflows using infrastructure-as-code frameworks.
  • Develop data-intensive applications, data pipelines, and cloud-based data platforms that enable analytics, artificial intelligence, and machine learning initiatives.
  • Collaborate with AI/ML engineers to deploy and support machine learning models, LLM applications, RAG pipelines, and agentic AI solutions in production environments.
  • Leverage AI-assisted development tools to accelerate software delivery while ensuring code quality, security, maintainability, and reliability.
  • Validate, test, and optimize software solutions, including AI-generated code, to ensure performance, scalability, and production readiness.
  • Implement monitoring, logging, tracing, alerting, and operational support practices to improve system reliability and performance.
  • Apply engineering standards for testing, security, scalability, cost efficiency, and software development best practices.
  • Partner with product, data, platform, security, and business teams to deliver production-ready solutions and support technical design discussions.
  • Mentor team members through code reviews, technical collaboration, and knowledge sharing.

Qualifications:
  • Relevant degree preferred.
  • 5 or more years of relevant experience required.
  • Experience building data-intensive applications, data platforms, data pipelines, ETL/ELT processes, or modern data engineering solutions required.
  • Experience with AWS, Azure, GCP, or similar cloud platforms and infrastructure-as-code tools such as Pulumi or Terraform required.
  • Strong Python or Java development experience with expertise building production backend services, APIs, distributed systems, and cloud-based applications highly preferred.
  • Experience supporting machine learning systems, model serving, LLM applications, RAG workflows, agentic AI solutions, or related AI technologies highly preferred.
  • Experience with containerization, Kubernetes, CI/CD pipelines, infrastructure automation, and cloud deployment practices preferred.
  • Experience leveraging AI-assisted development tools and validating AI-generated code in production environments preferred.
  • Experience with Databricks, Snowflake, Azure AI Foundry, observability platforms, monitoring, logging, tracing, or production support practices preferred.
  • Experience working with healthcare data, healthcare technology platforms, or healthcare analytics solutions highly preferred.

Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.
This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.