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Databricks Jobs in Minnesota (NOW HIRING)

Azure Database Engineer

Saint Paul, MN

$55.50 - $69/hr

If you're an experienced Database Engineer with a passion for Azure, Databricks, and modern data platforms, we'd love to hear from you. SYSCOM is seeking an experienced Azure Database Engineer to ...

Azure Database Engineer

Saint Paul, MN · On-site +1

$55.50 - $69/hr

If you're an experienced Database Engineer with a passion for Azure, Databricks, and modern data platforms, we'd love to hear from you. SYSCOM is seeking an experienced Azure Database Engineer to ...

Azure Database Engineer

Saint Paul, MN · On-site

$55.75 - $69/hr

If you''re an experienced Database Engineer with a passion for Azure, Databricks, and modern data platforms, we''d love to hear from you. SYSCOM is seeking an experienced Azure Database Engineer to ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Experience with Snowflake, Databricks, Redshift or other modern data platforms * Expertise in data modeling, dimensional modeling, and data warehousing concepts * Experience with Kafka / streaming ...

New

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Databricks * Microsoft Fabric * Strong understanding of data quality, validation, and production support Responsibilities * Design, develop, and maintain end-to-end data pipelines * Build data ...

Develop high-level architectural blueprints and provide guidance on modern data stacks, including cloud data warehouses and AI/ML systems, with a strong focus on Databricks (Lakehouse, Delta Lake ...

Senior Manager, Engineering

Eden Prairie, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Manage data warehouse (Databricks), OLTP databases, open search, and elastic cache clusters. * The ideal candidate will have strong technical skills, leadership experience, and a proven track record ...

Lead Data Scientist - Remote

Minnetonka, MN · On-site

$112K - $193K/yr

  • Retirement

This role is a senior, handson AI/ML engineering position focused on building, enhancing, and integrating Machine Learning and Generative AI solutions within Databricks. Working in office if based in ...

Senior Software Engineer

Eden Prairie, MN · On-site

$124K - $164K/yr

  • Retirement

Build event-driven streaming solutions and data integration pipelines leveraging Apache Kafka, Azure Databricks, and Azure SQL Managed Instance (SQL MI) * Design, develop, and deploy software ...

Senior Software Engineer

Eden Prairie, MN · Remote

$124K - $164K/yr

  • Retirement

Build event-driven streaming solutions and data integration pipelines leveraging Apache Kafka, Azure Databricks, and Azure SQL Managed Instance (SQL MI) * Design, develop, and deploy software ...

Senior Manager, Engineering

Eden Prairie, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Manage data warehouse (Databricks), OLTP databases, open search, and elastic cache clusters. * The ideal candidate will have strong technical skills, leadership experience, and a proven track record ...

Senior Manager, Engineering

Eden Prairie, MN

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Manage data warehouse (Databricks), OLTP databases, open search, and elastic cache clusters. * The ideal candidate will have strong technical skills, leadership experience, and a proven track record ...

Lead Data Scientist - Remote

Minnetonka, MN · On-site +1

$112K - $193K/yr

  • Retirement

This role is a senior, hands-on AI/ML engineering position focused on building, enhancing, and integrating Machine Learning and Generative AI solutions within Databricks. Working in office if based ...

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

  • Retirement

The scope of the role includes end-to-end pipeline development using Azure Data Factory, Databricks, PySpark, and streaming technologies; implementation of the Medallion (Bronze/Silver/Gold ...

Showing results 41-60

Databricks information

See Minnesota salary details

$23K

$36.9K

$49.9K

How much do databricks jobs pay per year?

As of Aug 16, 2026, the average yearly pay for databricks in Minnesota is $36,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $40,600.00 per year, depending on experience, location, and employer.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Minnesota?

The most popular types of Databricks jobs in Minnesota are:

What are popular job titles related to Databricks jobs in Minnesota?

For Databricks jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Databricks jobs?

Cities in Minnesota with the most Databricks job openings:

Infographic showing various Databricks job openings in Minnesota as of August 2026, with employment types broken down into 69% Full Time, and 31% Contract. Highlights an 81% In-person, 6% Hybrid, and 13% Remote job distribution, with an average salary of $36,937 per year, or $17.8 per hour.

Other

Posted 4 days ago


Job description

Job Title: AI/ML Engineer
Work Location: MinneapolisMN55401Detailed Job Description

The AI/ML Engineer will be responsible for delivering capital-funded cloud migration initiatives involving AI/ML and data platforms.

The resource will work closely with engineering, data, cloud, and business teams to migrate and modernize existing workloads while implementing scalable AI/ML solutions in the Azure ecosystem.

Key responsibilities include:

  • Design, develop, and implement AI/ML solutions for enterprise applications and data platforms.
  • Support the migration of existing AI, analytics, and data workloads to Microsoft Azure and Databricks.
  • Develop scalable data processing and machine learning pipelines using Python, Spark/PySpark, and Airflow.
  • Build and maintain Airflow workflows/DAGs for data and ML pipeline orchestration.
  • Develop, train, evaluate, and optimize machine learning models.
  • Apply strong AI/ML knowledge to solve complex business and technical problems.
  • Collaborate with cloud and data engineering teams to modernize legacy workloads.
  • Ensure migrated workloads meet performance, scalability, security, and reliability requirements.
  • Troubleshoot and optimize cloud-based AI/ML and data processing workloads.
  • Contribute to architecture, technical design, development, testing, deployment, and production support activities.
  • Participate in enterprise-scale cloud migration and modernization programs.
Top 3 Responsibilities
  1. AI/ML Engineering
    Design, develop, optimize, and productionize AI/ML solutions using Python and modern machine learning technologies.
  2. Cloud Migration & Modernization
    Deliver capital-funded initiatives focused on migrating and modernizing AI/data workloads using Azure and Databricks.
  3. Data & ML Pipeline Engineering
    Build and optimize scalable pipelines using Python, Spark/PySpark, and Airflow to support enterprise AI/ML workloads.