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Databricks Developer 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 ...

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 ...

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How much do databricks developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for databricks developer in Minnesota is $60.23, according to ZipRecruiter salary data. Most workers in this role earn between $54.13 and $66.63 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

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

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

What do you need to be a Databricks developer?

To become a Databricks developer, you typically need proficiency in Apache Spark, programming skills in languages like Python, Scala, or SQL, and experience with cloud platforms such as AWS or Azure. Knowledge of data engineering, ETL processes, and familiarity with Databricks' environment and tools are also important, along with relevant certifications or training.

What is a Databricks developer?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

What is the salary of a Databricks developer?

The salary of a Databricks developer 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, or data engineering may earn higher compensation.

Is a Databricks developer an in demand skill?

Yes, Databricks developers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance employability in this role, which is often required in data-driven industries.
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Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Minnesota as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $125,268 per year, or $60.2 per hour.

Databricks Platform Engineer Lead

TechYantram Solutions

Minneapolis, MN • On-site

$107K - $140K/yr

Other

Posted 12 days ago

Job description

Databricks Platform Engineer LeadIntroduction:

As a Databricks Platform Engineer Lead, you will play a key role in managing and optimizing our Databricks platform. You will be responsible for designing, implementing, and maintaining the infrastructure as code for Databricks on both Azure and AWS cloud environments. Your expertise in Terraform, Azure, AWS, and Databricks will be crucial in ensuring the platform runs smoothly and efficiently.

Responsibilities:
  • Lead the design and implementation of infrastructure as code for Databricks platform
  • Manage and optimize Databricks platform on Azure and AWS cloud environments
  • Collaborate with cross-functional teams to ensure seamless integration of Databricks platform
  • Troubleshoot and resolve any issues related to Databricks platform performance
  • Implement best practices for security and compliance on Databricks platform
  • Provide technical guidance and mentorship to junior team members
Requirements:Required Skills:
  • Proven experience with Infrastructure as Code
  • Strong proficiency in Terraform for managing infrastructure
  • Hands-on experience with Azure and AWS cloud environments
  • In-depth knowledge of Databricks platform
Preferred Skills:
  • Experience with GitHub Actions for CI/CD
  • Familiarity with GitLab CI/CD pipelines
  • Certifications in Azure or AWS cloud services

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