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Databricks Jobs in Minnesota (NOW HIRING)

Saransh Inc

Sr Azure Data Engineer (12+ yrs)

Minneapolis, MN · On-site

$57.50 - $71.25/hr

Azure Databricks Responsibilities: * Design and develop scalable architectures using Azure Databricks to meet business requirements and optimize performance. * Implement best practices for data ...

Ames Construction

Data Analyst

Burnsville, MN · On-site

We are looking for an entry-level Data Analyst to join our team and support the modernization of our company's data stack using Azure Databricks, GitHub, and Power BI. This role is ideal for someone ...

Ames Construction

Data Analyst

Burnsville, MN · On-site

We are looking for an entry-level Data Analyst to join our team and support the modernization of our company's data stack using Azure Databricks, GitHub, and Power BI. This role is ideal for someone ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site +1

Expertise in Databricks/Apache Spark for large-scale data processing in AI/ML applications. * Proficiency with AWS Bedrock and Comprehend. * Demonstrated leadership in AI/ML solutions in a commercial ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site

Expertise in Databricks/Apache Spark for large-scale data processing in AI/ML applications. * Proficiency with AWS Bedrock and Comprehend. * Demonstrated leadership in AI/ML solutions in a commercial ...

UnitedHealth Group

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

One Tech

GIS Analyst

Minneapolis, MN

$104K - $110K/yr

Perform data analysis using tools such as Databricks. Complete and prioritize tasks through JIRA. Handle work ranging from simple data requests to multi-day analysis and mapping projects. Perform ...

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See Minnesota salary details

$23K

$36.9K

$49.9K

How much do databricks jobs pay per year?

As of Jun 7, 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.

What is a Databricks job?

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.

Does Databricks pay more than Google?

As a data platform company, Databricks generally offers competitive salaries that can be comparable to or slightly lower than Google's, depending on the role, location, and experience level. Google is known for high compensation packages, especially for engineering and technical roles, often including bonuses and stock options, while Databricks also provides attractive pay and benefits for data engineers, data scientists, and software engineers. Salary differences depend on specific job functions, seniority, and geographic location.

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 job categories do people searching Databricks jobs in Minnesota look for? The top searched job categories for Databricks jobs in Minnesota are:
What cities in Minnesota are hiring for Databricks jobs? Cities in Minnesota with the most Databricks job openings:
Databricks jobs near you
Infographic showing various Databricks job openings in Minnesota as of May 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $36,937 per year, or $17.8 per hour.

Sr Azure Data Engineer (12+ yrs)

Saransh Inc

Minneapolis, MN • On-site

$57.50 - $71.25/hr

Contractor

Posted 28 days 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.