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Databricks Developer Jobs in Minnesota (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Minneapolis, MN

$119K - $143K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

Diverse Lynx

Senior Azure Databricks Engineer

Eden Prairie, MN · On-site

$106K - $146K/yr

Data Engineer Seeking a data engineer with strong hands-on experience in Azure cloud, Azure Databricks, PySpark, Azure Data Factory (ADF), Delta Lake, and Unity Catalog. The ideal candidate will be ...

Deloitte

Databricks Data Engineer

Minneapolis, MN

$119K - $143K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Deloitte

Databricks Manager

Minneapolis, MN · On-site +1

These solutions are powered by engineering for business advantage, transforming mission-critical ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Deloitte

Databricks Manager

Minneapolis, MN

Bachelor's degree 6+ years of experience delivering data engineering, analytics, or cloud data platform solutions 3+ years of experience with Databricks and Apache Spark 3+ years of experience with ...

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 ...

eTeam

Senior ETL Data Engineer

Minneapolis, MN · On-site

Must Have Skills: ETL Datastage, Unix, Airflow, Teradata, Python,Databricks and Snowflake Nice to Have Skills: SQL, , Azure ,Kubernetes Services, ,DBT(Data Build Tool) Detailed As a Developer ...

Vizient

Senior Artificial Intelligence Data Engineer

Edina, MN · On-site

$109K - $148K/yr

Strong experience with Azure Databricks, PySpark, Spark SQL, Delta Lake, Azure Data Factory, SQL, and dbt required. * Experience with Azure DevOps, Git, pull request workflows, CI/CD pipelines, and ...

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How much do databricks developer jobs pay per hour?

As of Jun 28, 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.

Is Databricks a high paying company?

As a Databricks Developer, salary levels are generally competitive within the tech industry, often reflecting expertise in cloud platforms, big data tools, and programming skills. Compensation can vary based on experience, location, and certifications, but many roles in this field offer above-average salaries for data and cloud professionals.

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.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data processing and analytics. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers, with many companies seeking professionals with certification and experience in the platform.

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.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Developer can be competitive, requiring strong skills in Apache Spark, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering and analytics tools to improve their chances.

Is Databricks need coding?

As a Databricks Developer, coding skills are essential because the role involves writing and optimizing code in languages such as Python, Scala, or SQL to develop data pipelines and analytics solutions within the Databricks platform. Familiarity with Spark and data engineering concepts is also important for effective performance.
What are the most commonly searched types of Databricks Developer jobs in Minnesota? The most popular types of Databricks Developer jobs in Minnesota are:
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What job categories do people searching Databricks Developer jobs in Minnesota look for? The top searched job categories for Databricks Developer jobs in Minnesota are:
Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Minnesota as of June 2026, with employment types broken down into 94% Full Time, 1% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $125,268 per year, or $60.2 per hour.
Azure Databricks DevOps Engineer (API & Platform)

Azure Databricks DevOps Engineer (API & Platform)

InterSources

Hopkins, MN • On-site

$53.75 - $73.50/hr

Other

Posted 5 days ago

Job description

Azure Databricks DevOps Engineer (API & Platform)

Location - SF or Cupertino, California, Dallas Texas, Hopkins, MN, Atlanta GA, Charlotte NC (Local to these location only) -- onsite Duration – 8 Months contract Role MoI- 2 Video

Job Description

  • As an Analytics platform engineer supporting Azure & AWS Databricks from a DevOps perspective requires a hybrid skill set spanning primarily cloud infrastructure management and deployment, automation and CI/CD practices and it is helpful if they a background or exposure to ELT and data engineering and Database Administration Concepts etc.
  • The resource will be responsible developing the foundation Databricks for use within client as an Analytics Platform Engineering team member where they will develop automation via terraform modules or other tooling to deploy Databricks Workspaces, along with other cloud resources, we are developing a platform ontop of a PaaS offering where you also need to implement a CICD solution in Gitlab.
  • Core Responsibilities
  • Implement CI/CD Pipelines: Design and maintain continuous integration and continuous deployment pipelines using tools like Gitlab, Azure DevOps or GitHub Actions for deploying data pipelines and infrastructure changes.
  • Infrastructure as Code (IaC): Provision and manage Azure Analytics services (Databricks, etc.) through code using tools such as Terraform, ARM templates, or Bicep to ensure consistency and repeatability.
  • Platform Operations: Deploy, manage, and optimize the performance and resource utilization of Azure data services, including monitoring and troubleshooting data pipeline failures and performance issues.
  • Automation & Scripting: Automate routine operational tasks and application deployments using scripting languages like Python, PowerShell, or Bash.
  • Security & Compliance: Implement security best practices, including identity and access management (IAM), data encryption, and compliance with data governance policies (e.g., GDPR) within the platform.
  • Collaboration: Work closely with data engineers, data scientists, and business analysts to translate data requirements into robust technical solutions and foster a DevOps culture within the organization

Key Skills and Qualifications

  • Cloud Platform Expertise: Deep knowledge of Microsoft Azure and/or AWS services, specifically, Azure and or AWS Databricks, Exposre to Azure Synapse Analytics (SQL pools, Spark pools, pipelines), Azure Data Factory (pipelines, triggers, data flows), would be beneficial as well. Azure Data Lake Storage (ADLS), and Azure Monitor

DevOps Tools & Methodologies:

  • CI/CD platforms: Expertise Gitlab or Azure Devlops (Azure Pipelines, Boards, Repos) or GitHub Actions.
  • Version Control: Strong experience with Git and branching strategies.
  • IaC tools: Proficiency in Terraform, Bicep, or ARM templates.
  • Containerization: Experience with Docker and container orchestration (Azure Kubernetes Service - AKS) is highly beneficial.
  • Programming & Scripting Languages: Proficiency in Python, SQL (SQL, query optimization), and scripting languages like PowerShell or Bash for automation and data manipulation tasks.
  • Data Engineering Fundamentals: Basic understanding of Data engineering principals such as ETL/ELT processes, data modeling, data warehousing, and big data concepts.
  • Monitoring & Logging: Experience implementing monitoring, logging, and alerting solutions using tools like Azure Monitor, Log Analytics, and Application Insights.
  • Soft Skills: Excellent problem-solving, analytical, and communication skills to work effectively in fast-paced, agile environments.
  • Preferred Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203) or Microsoft Certified: Azure DevOps Engineer Expert (AZ-400) are highly valued.

Must Have

  • 4+ years of experience developing APIs and integrating with 3rd party APIs. Strong SQL skills (SQL Server or Oracle). Familiarity with scripting languages (Python, Bash, Powershell). Experience with version control systems (Git, GitHub, GitLab). Knowledge of CI/CD pipelines and DevOps best practices. Understanding of workflow automations is a plus. Excellent problem-solving, analytical, and communication skills.
  • Azure AD, OAuth, JWT, Microsoft Teams SDK, Building apps for teams, Azure hands with AD B2C, BOT, SignalR, AKS, App Registrations, App Insights
  • Azure Databricks
  • CI/CD: Jenkins, Terraform, GitLab CI/CD
  • Terraform Module Development

Nice To Have

  • Data Engineer
  • Strong understanding of ETL/ELT processes, data modeling, data warehousing, and big data concepts.
InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

Year founded

2007

Social media

Twitter

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