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Databricks Engineer Jobs in Minnesota (NOW HIRING)

C4 Technical Services

Senior Databricks

Chanhassen, MN · On-site

$124K - $164K/yr

Senior Databricks Analytics Engineer Contract-(3-6 months) Hybrid - Chanhassen, MN (Local Preferred) Role Overview: * We are seeking a Senior Databricks Analytics Engineer to help design and build a ...

Healthcare Triangle Inc

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 ...

Wipro Limited

Technical Lead - DataBricks

Minneapolis, MN · On-site

$60K - $135K/yr

Technical Lead - DataBricks City: Minneapolis State/Province: Minnesota Posting Start Date: 8/24/26 ... Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and ...

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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 29, 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 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.

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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

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 like AWS or Azure, making them valuable in data-driven organizations across various industries.

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 91% Full Time, 2% Part Time, and 7% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $109,333 per year, or $52.6 per hour.

Hiring | Databricks Engineer Lead | Minneapolis, MN | Contract

Minneapolis, MN • On-site

Healthcare Triangle Inc
IT Services • 51 - 200 employees
Learn more about Healthcare Triangle Incexternal

$107K - $140K/yr

Other

Posted 16 days ago

Job description

Role : Databricks Engineer Lead
Location : Minneapolis, MN
Duration : Long-term Contract
Job Responsibilities :
  • 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 data lakehouse architecture.
  • Work with Azure/AWS, Databricks Workflows, Unity Catalog, and cloud storage.
  • Optimize performance, data quality, and cost of Databricks workloads.
  • Mentor engineers and provide technical leadership.
  • Collaborate with architects, analysts, and business teams.
Required Skills:
Databricks, PySpark, Spark SQL, Delta Lake, Python, SQL, ETL/ELT, Data Lakehouse, Azure/AWS, Unity Catalog, CI/CD, Git.

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