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Databricks Engineer Jobs in Wisconsin (NOW HIRING)

Jewelers Mutual Insurance Company

Cloud Engineer II

Neenah, WI · Remote

$57.50 - $76.75/hr

Our engineering team in Raleigh is building a serverless, event-driven platform on AWS, a modern data stack on Databricks, and an enterprise AI capability designed to change how insurance works. This ...

Ansell

$126K/yr

Role Overview We are looking for a QA Lead Engineer who can provide both technical leadership and ... Proficiency in Azure Databricks for data processing and distributed testing of data pipelines.

Pwc

GenAI Python Systems Engineer-Manager

Milwaukee, WI

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

TailorCare

$61 - $81/hr

Data platforms (Databricks, Snowflake, Fivetran) * HITRUST certification participation (e1 or r2 ... You grow engineers. You hire well, develop your team, and create the kind of operating environment ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Pwc

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

PlayStation Global

Software Engineer II (Java)

Madison, WI · On-site

$136K - $204K/yr

As a full-stack developer, you will work across the stack, contributing to both the front-end and ... Experience with data pipeline tools and familiarity with Databricks and Power BI At SIE, we ...

ClifyX

ETL Test lead

Milwaukee, WI · On-site

As an ETL Test Engineer, you will be responsible for both manual and automated testing to validate ... Databricks, Snowflake 5. Power BI/SSRS/SSIS for report testing 6. Messaging events (SNS/SQS/Kafka ...

Pwc

Data Engineer - Manager

Milwaukee, WI · On-site

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Exact Sciences

Staff Data Engineer - Science

Madison, WI

$115K - $138K/yr

As a Staff Data Engineer, this extremely seasoned professional will demonstrate competence and ... Spark on Snowflake or Databricks. * Python, Scala, SQL development. * ETL data pipelines.

SynergisticIT

Python Developer - Remote

Madison, WI · On-site

$50.75 - $69.75/hr

NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow. For Java/full stack/software positions ... computer engineering, electrical engineering, information systems, IT highly motivated, self ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Wisconsin

Databricks Engineer information

See Wisconsin salary details

$60.1K

$112.7K

$204.9K

How much do databricks engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for databricks engineer in Wisconsin is $112,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer typically ranges from $100,000 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. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Wisconsin? For Databricks Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Wisconsin look for? The top searched job categories for Databricks Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Databricks Engineer jobs? Cities in Wisconsin with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Wisconsin as of June 2026, with employment types broken down into 62% Full Time, 23% Part Time, and 15% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $112,676 per year, or $54.2 per hour.
Cloud Engineer II

Cloud Engineer II

Jewelers Mutual Insurance Company

Neenah, WI • Remote

$57.50 - $76.75/hr

Full-time

Retirement, PTO

Posted 12 days ago

Job description

Summary

This position is responsible for the support of cloud environments primarily in Azure as well as Google Cloud and AWS. This position focuses on supporting the Cloud environment as well as moving the on-premises environment to Azure Virtual Machines, Microsoft’s PaaS solutions, and SaaS solutions. 

About Jewelers Mutual
Jewelers Mutual Group has been protecting the jewelry industry for over 113 years, and we’re now pairing that deep domain expertise with a ground-up technology transformation. Our engineering team in Raleigh is building a serverless, event-driven platform on AWS, a modern data stack on Databricks, and an enterprise AI capability designed to change how insurance works. This is Silicon Valley energy inside a company that’s been earning trust since 1913.


What You'll Do

  •  Participates in the design process and implements cloud-based solutions.
  •  Migrating on-premises based workloads into cloud infrastructure.
  •  Maintenance and monitoring of cloud-based solutions.
  •  Reporting on cloud usage.
  •  Partnering with internal teams to support and design efficient cloud solutions that meet business requirements.
  •  Work closely with DevOps and Infrastructure team members to automate and implement infrastructure as code.
  •  Troubleshoot and support issues related to performance, security, or capabilities of cloud-based solutions.
  •  Integrate cloud-based solutions with other cloud or on-premises workloads.
  •  Works closely with other teams to provide technical guidance for cloud options.
  •  Works with Security team to implementing and maintain security solutions.
  •  Automate the elasticity of cloud services to minimize costs during light usage and to maximize performance during peak volume.
  •  Identify inadequate or inefficient systems and suggests alternatives to reduce cost or increase efficiency to enable the company to reach its goals.
  •  Stay up to date on industry trends and technologies; recommend new solutions.
  •  Participate in an "on-call" rotation for cloud support.
  •  Review current server infrastructure and determine sizing and scalability as well as reduce server sprawl.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential function.


What You'll Bring 

  •  Bachelor’s degree in IT or a related field preferred.
  •  3 - 4 years of related experience in Information Technology.
  •  Must have a minimum of 2 years of experience in Microsoft Azure
  •  Experience supporting major infrastructure migration initiatives is preferred. 
  •  Property/casualty insurance background and jewelry industry experience are helpful, but not required.
  •  Experience with Google Cloud and AWS seen as a plus.


Certificates, Licenses, Registrations  

  • Microsoft, Google, AWS, Cisco, VMware, Citrix, PowerShell preferred.
     

What We Offer You

  • Community & Giving: Benefit from 50% charitable gift matching and paid volunteer time to support nonprofit causes.
  • Great Place to Work® Certified: Join a team recognized for an environment of innovation and growth.
  • Collaborative Culture: Work alongside talented, passionate peers who value ownership and continuous learning.
  • Competitive Compensation & Benefits: Includes performance bonuses, generous paid time off, and a top-tier retirement program with 401(k) matching and additional company contributions.

    Apply