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Databricks Jobsexternal 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 ...

Tanisha Systems, Inc.

Databricks Architect

Minneapolis, MN · On-site

$67.50 - $88.75/hr

Databricks Architect Location: Minneapolis, MN (3 Days onsite/week) Long term Contract Salary: Market- based on experience 15+ year of Exp Proper Architect Exp Job Summary: The Azure Databricks ...

Wipro Limited

Databricks Engineer

Minneapolis, MN · On-site

$60K - $135K/yr

Job Title: Databricks Engineer City: Minneapolis State/Province: Minnesota Posting Start Date: 8/27/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and ...

Wipro Limited

Databricks Engineer

Minneapolis, MN · On-site

$60K - $135K/yr

Job Title: Databricks Engineer City: Minneapolis State/Province: Minnesota Posting Start Date: 8/27/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and ...

Wipro Limited

Databricks Architect

Minneapolis, MN · On-site

$80K - $158K/yr

Job Title: Databricks Architect City: Minneapolis State/Province: Minnesota Posting Start Date: 8/26/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and ...

Deloitte

Sr Databricks Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

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$49.9K

How much do databricks jobs pay per year?

As of Sep 9, 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?

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.

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 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.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

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 September 2026, with employment types broken down into 85% Full Time, 1% Part Time, and 14% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $36,937 per year, or $17.8 per hour.

Senior Databricks

Chanhassen, MN • On-site

C4 Technical Services
201 - 500 employees
Learn more about C4 Technical Servicesexternal

$124K - $164K/yr

Other

Posted 19 days ago

Job description

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 new Databricks-based analytics platform from the ground up.
  • This individual will work closely with Data & AI leadership and serve as a technical partner in establishing the Lakehouse architecture, Medallion data model, semantic layer strategy, and reporting-ready datasets.
  • The ideal candidate has prior experience building Databricks environments from scratch and can operate independently with minimal direction while helping establish foundational best practices.

Top Skills:

  • Databricks
  • Delta Lake
  • PySpark
  • SQL
  • Data Modeling
  • Medallion Architecture
  • Lakehouse Architecture
  • Silver & Gold Layer Development
  • Semantic Modeling
  • Analytics Engineering
  • Data Warehousing
  • PowerBI

Nice to have Skills:

  • Databricks Apps
  • Unity Catalog
  • dbt
  • Microsoft Fabric
  • Power BI Semantic Models
  • Unstructured Data Ingestion
  • AI / GenAI Data Preparation
  • Vector Databases
  • Azure AI Services
  • RAG Framework Exposure
  • Python
  • Azure Data Factory

Job Description:

  • Partner with Data & Analytics leadership to design and build a Databricks Lakehouse environment.
  • Develop and maintain Bronze, Silver, and Gold layers within a Medallion Architecture.
  • Design and implement business-facing data models and semantic layers.
  • Create analytics-ready datasets optimized for reporting and self-service BI.
  • Build and optimize ETL/ELT pipelines using Databricks, PySpark, and SQL.
  • Support ingestion and processing of structured and unstructured data sources.
  • Collaborate with business stakeholders to define metrics, reporting requirements, and data structures.
  • Establish data quality, validation, and governance best practices.
  • Contribute to Databricks Apps and analytics platform capabilities.
  • Help define scalable architecture patterns and development standards.
  • Support AI and GenAI initiatives through data preparation and ingestion pipelines.

Ideal Candidate Profile:

  • Senior Databricks Analytics Engineer
  • Senior Data Engineer
  • Lakehouse Engineer
  • Analytics Engineer
  • Databricks Consultant
  • Databricks Data Architect (hands-on)
  • Data Platform Engineer
  • Azure Databricks Engineer
  • Data Warehouse Engineer with Lakehouse experience
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About C4 Technical Services

Sourced by ZipRecruiter

C4 Technical Services is a national privately held women and African American owned Staffing and Consulting company based in Minneapolis, Minnesota. We are committed to maintaining our entrepreneurial spirit as we grow and help our clients grow. This gives us the ability to be flexible and responsive as we align with client organizations to help scale their IT, Infrastructure, Digital UX, Application Development, Strategy, and Telecom to increase and support their growing business needs. We have a deliberate commitment to a partner pipeline – always on the hunt for new technology and new solutions to problems, new and old. Our areas of technical focus include D365 Consulting, Microsoft O365, SCCM, SCSM, Cyber Security, Digital UX, UI Development, DevOps, Cloud, PMO, iOS, Android, Power BI, Data Visualization, Kafka, Python, Java, .NET, Chaos Engineering, Call Center, and Ransomware attacks.

Company size

201 - 500 Employees

Headquarters location

Little Canada, MN, US

Year founded

2013

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