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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 ...

Omni Inclusive

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Databricks Certified Associate Developer for Apache Spark. Experience with data governance and data security practices. Knowledge of Docker and Kubernetes for containerization and orchestration.

Artech

DevOps Engineer

Hopkins, MN · Hybrid

$53.75 - $73.50/hr

This role involves supporting Azure & AWS Databricks from a DevOps perspective, requiring a hybrid skill set that spans cloud infrastructure management, deployment, automation, and CI/CD practices.

Omni Inclusive

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Databricks Certified Associate Developer for Apache Spark.Experience with data governance and data security practices.Knowledge of Docker and Kubernetes for containerization and orchestration. (1.) ...

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How much do databricks developer jobs pay per hour?

As of Jun 4, 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 is a Databricks Developer job?

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 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 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.
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Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Minnesota as of May 2026, with employment types broken down into 79% Full Time, 10% Part Time, and 11% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $125,268 per year, or $60.2 per hour.
Senior Public Sector Solutions Architect - Data & Cloud

Senior Public Sector Solutions Architect - Data & Cloud

Databricks

Virginia, MN • On-site

Full-time

Posted 22 days ago

Job description

A leading data and AI company is seeking a Solutions Architect to lead client engagements and demonstrate how the Databricks Unified Analytics Platform can solve complex business problems. The ideal candidate has significant experience in customer-facing roles and strong skills in distributed data systems, programming, and architecture across public cloud platforms. This position offers a competitive compensation package, including eligibility for bonuses and benefits, with the opportunity to work with diverse clients and innovative technologies.

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