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Databricks Data Engineer Jobs in Wisconsin (NOW HIRING)

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Spark on Snowflake or Databricks. * Python, Scala, SQL development. * ETL data pipelines.

Abbott

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Spark on Snowflake or Databricks. * Python, Scala, SQL development. * ETL data pipelines.

Stellix

Senior Data Engineer III

Foxboro, WI · On-site

$130K - $160K/yr

The Position We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics ... Snowflake, Databricks, Redshift, BigQuery). Experience with AWS and Snowflake preferred.

Sirus

WI · On-site

$90 - $115/hr

Je hebt voeling met tools zoals Azure Data Factory, Synapse Analytics, Databricks, Event Hubs, Purview, etc. Je hebt noties van CI/CD, DevOps, Git en containertechnologie. Je hebt interesse in de rol ...

WinsAbove

WI · On-site

$180 - $247.50/hr

FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics ...

Menlo Ventures

WI · On-site

$180 - $247.50/hr

FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics ...

Socket.dev

WI · On-site

$180 - $247.50/hr

FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics ...

Saic

WI · On-site

$160 - $200/hr

Databricks Certified Data Engineer * Databricks Certified Generative AI Engineer * CDMP Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this ...

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Databricks Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do databricks data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for databricks data engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

What are the most commonly searched types of Databricks Data Engineer jobs in Wisconsin?

The most popular types of Databricks Data Engineer jobs in Wisconsin are:

What are popular job titles related to Databricks Data Engineer jobs in Wisconsin?

For Databricks Data Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Databricks Data Engineer jobs in Wisconsin look for?

The top searched job categories for Databricks Data Engineer jobs in Wisconsin are:

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 89% In-person, 2% Hybrid, and 9% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Sr. Data Engineer

Abbott

Madison, WI • On-site

$115K - $138K/yr

Full-time

Re-posted 7 days ago

Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

170th of 545 rated manufacturers

Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.
JOB DESCRIPTION:
Position Overview
As a Senior Data Engineer, this seasoned professional will demonstrate competence and creativity in a wide range of technical areas. This role will have a lead role in the design, development, and testing of software applications for Exact Sciences, creating expert design concepts and foolproof debugging. This role will be able to resolve most issues and problems effectively with minimal oversight, communicate effectively with business stakeholders and mentor junior team members. This role will routinely make key decisions for the team, be accountable for application quality, and be highly productive.
Working in our Data Engineering teams, you will collect and analyze data to develop robust IT solutions that deliver advanced data analytics capabilities to the organization. You will develop database architectures to address business requirements, ensuring system scalability, security, performance, and reliability. Additionally, you will design and document database applications such as interfaces, data transfer mechanisms, and data partitions to enable efficient access of the generic database structure.
This role is based in Madison, WI.
Essential Duties
Include, but are not limited to, the following:
  • Has complete knowledge, skills, and understanding of practices for complex programs and initiatives demonstrating creativity and substantial understanding of specialized techniques, processes, procedures.
  • Troubleshoot issues and problems of medium complexity for major software applications; break down complex tasks, make reasonable decisions, investigate and fix bugs, and operate independently.
  • Initiate independent designs that impact and influence the department's delivery and approach. Lead reviewing design alternatives, problems, and solutions with an eye on limiting the need for later problem solving.
  • Consistently influence and make significant decisions within a project, demonstrating good judgment in selecting methods and techniques for obtaining solutions based in a solid understanding of business strategy and best practices with minimal instructions for difficult or unpredictable situations.
  • Contribute individual capabilities to the achievement of group objectives, and work effectively with others in a group setting. This includes mentoring, coaching, and technical guidance for junior members of the team.
  • Build successful internal and external partnerships with peers, SMEs, stakeholders, and decision-makers.
  • Communicate clear and concise project plans/designs and status updates for a project.
  • Ability to work nights and/or weekends, as needed.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications
  • Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering; or High School Diploma/General Education Degree and 4 years of relevant experience as outlined in the essential duties in lieu of Bachelor's Degree.
  • Complete knowledge and full understanding of software development design and development, and relevant domain specific skills (see below).
  • Spark on Snowflake or Databricks.
  • Python, Scala, SQL development.
  • ETL data pipelines.
  • Designing and implementing data modeling solutions using relational, dimensional, and/or NoSQL databases.
  • Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
  • Big Data file formats (Parquet, Avro, Delta Lake).
  • Cloud Infrastructure services (i.e., AWS, SQS, S3, and GitLab).
  • Agile development tools; including, but not limited to, JIRA, Confluence repository.
  • RestAPI development.
  • Tableau, ideally including performance optimization.
  • Demonstrated ability to perform the essential duties of the position with or without accommodation.
  • Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.

Preferred Qualifications
  • Advanced understanding of Model Context Protocol (MCP), including consuming packaged MCP integrations (e.g., Atlassian), configuring custom MCP servers, and developing MCP and skills integrations to extend AI tooling within data workflows.
  • Familiarity with customer data platform (CDP) concepts, Braze or other patient/provider communications workflows/processes.

The base pay for this position is
$78,000.00 - $156,000.00
In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Product Development
DIVISION:
ONCO Cancer Diagnostics
LOCATION:
United States > Madison : 1 Exact Lane
ADDITIONAL LOCATIONS:
WORK SHIFT:
Standard
TRAVEL:
No
MEDICAL SURVEILLANCE:
Not Applicable
SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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