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Databricks Jobs in Minnesota (NOW HIRING)

Healthcare Triangle Inc

Databricks Lead

Minneapolis, MN · On-site

$107K - $140K/yr

We have a job opening for the position of Databricks Lead . Please find the below and if you are interested, kindly share your updated resume with contact details... Job Title: Databricks Lead ...

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 ...

BBQ Holdings

Data Quality Analyst

Minnetonka, MN

Databricks Platform Responsibilities o Design and implement automated data quality checks within the Databricks environment. o Build and maintain data validation processes using Databricks SQL ...

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$23K

$36.9K

$49.9K

How much do databricks jobs pay per year?

As of Aug 16, 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.

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.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

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.

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 often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

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 August 2026, with employment types broken down into 69% Full Time, and 31% Contract. Highlights an 81% In-person, 6% Hybrid, and 13% Remote job distribution, with an average salary of $36,937 per year, or $17.8 per hour.

Databricks Lead

Healthcare Triangle Inc

Minneapolis, MN • On-site

$107K - $140K/yr

Other

Posted 4 days ago

Job description

We have a job opening for the position of Databricks Lead.

Please find the job description below and if you are interested, kindly share your updated resume with contact details...

Job Title: Databricks Lead

Location: Minneapolis, MN

Duration : Long Term

Job Responsibilities :
  • Lead the design and development of scalable data engineering solutions using Databricks.
  • Develop and optimize PySpark, Spark SQL, and Delta Lake pipelines.
  • Build and manage ETL/ELT workflows and data lakehouse architecture.
  • Work with Azure/AWS, Databricks Workflows, Unity Catalog, and cloud storage.
  • Optimize performance, data quality, and cost of Databricks workloads.
  • Mentor engineers and provide technical leadership.
  • Collaborate with architects, analysts, and business teams.
Required Skills:
Databricks, PySpark, Spark SQL, Delta Lake, Python, SQL, ETL/ELT, Data Lakehouse, Azure/AWS, Unity Catalog, CI/CD, Git.
Thanks & Regards,
Subash US IT Consulting
Ph: / Email: @blockedge.io

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