ZipRecruiter

Log In

1

Databricks Engineer Jobs in Minnesota (NOW HIRING)

Saransh Inc

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 ...

Xcel Energy

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Maintain deep expertise in data engineering and modern data architectures and Databricks ... capabilities. * Operations: Review solution performance, and continually assess health of systems.

Sovereign Technologies

Senior Data Engineer

Eagan, MN · On-site

$108K - $146K/yr

... Databricks notebooks, workflows, and cluster management · Moderate hands-on experience with S3 ... o This Data Engineer will own and evolve our critical HEDIS data pipeline. § HEDIS data is ...

UnitedHealth Group

DevOps Engineer

Eden Prairie, MN · Remote

$72K - $130K/yr

Provision, configure, and support Databricks workspaces, clusters, pools, jobs, and access controls in close collaboration with data engineering teams.Build and maintain robust GitHub Actions ...

Conch Technologies Inc

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no ... Databricks * Microsoft Fabric * Strong understanding of data quality, validation, and production ...

S R INTERNATIONAL INC

Azure Database Engineer

Saint Paul, MN · On-site

$115K - $138K/yr

Strong experience with Azure Databricks * Experience with Oracle Databases * Experience developing ... Mentor Database Engineers and provide technical guidance. Important Notes * Remote or Hybrid work ...

New

SYSCOM, Inc.

Azure Database Engineer

Saint Paul, MN · On-site

$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 ...

Expleo

Database Engineer

Saint Paul, MN · Remote

$83 - $89/hr

Cloud Innovation - Work with cutting-edge Azure technologies, Databricks, and modern data ... Experience mentoring junior engineers and contributing to technical leadership initiatives ...

Syscom, Inc.

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 ...

UnitedHealth Group

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

The scope of the role includes end-to-end pipeline development using Azure Data Factory, Databricks ... Collaborate with the other data engineer to share responsibility across different pipelines or ...

New

UnitedHealth Group

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

The scope of the role includes end-to-end pipeline development using Azure Data Factory, Databricks ... Collaborate with the other data engineer to share responsibility across different pipelines or ...

New

SYSCOM, Inc.

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 ...

previous pagenext page

Showing results 21-40

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Minnesota

Databricks Engineer information

See Minnesota salary details

$58.3K

$109.3K

$198.8K

How much do databricks engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for databricks engineer in Minnesota is $109,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $129,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in Minnesota? For Databricks Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Minnesota look for? The top searched job categories for Databricks Engineer jobs in Minnesota are:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Minnesota as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $109,333 per year, or $52.6 per hour.

Sr Azure Data Engineer (12+ yrs)

Saransh Inc

Minneapolis, MN • On-site

$57.50 - $71.25/hr

Contractor

Re-posted 19 hours ago

Job description

Title: Azure Data Engineer
Location: Minneapolis, MN (Onsite from Day 1)
Job Type: Contract
 
Experience Required: Min 12+ years
 
Skill Matrix:
 
Skills
Required
Azure Admin
Yes
 
 
 
Required Skills:
Azure Databricks
 
Responsibilities:
  • Design and develop scalable architectures using Azure Databricks to meet business requirements and optimize performance.
  • Implement best practices for data processing and analytics to ensure efficient and reliable data workflows.
  • Oversee the integration of Azure Databricks with other cloud services to enhance functionality and streamline operations.
  • Engage in continuous learning and development to stay updated with the latest advancements in Azure Databricks and related technologies.
Qualifications:
  • Extensive experience in Azure Databricks, demonstrating a deep understanding of its capabilities and applications.
  • Proven track record of designing and implementing scalable architectures in a cloud environment.
  • Familiarity with industry standards and best practices for data processing and analytics.