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Data Engineer Data Bricks Jobs in DeForest, WI (NOW HIRING)

Pandata Group is a cloud-first data analytics services firm that builds data-driven communities ... Exposure to developer tools/ workflow (e.g. git/github, SSH) * Knowing how to get around a command ...

Data Scientist II

Madison, WI · On-site +1

$80K/yr

Stay current with Azure, Power BI, GIS tools, and data engineering best practices * Recommend enhancements to improve data accessibility, visualization, and spatial analysis capabilities It is ...

Data Reviewer

Verona, WI · On-site

$35 - $43/hr

Data Reviewer As a Data Reviewer, you will be responsible for reviewing data from validations and ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

Data Scientist

Madison, WI · On-site

$110 - $150/hr

Partner with our Engineering Team to automate data workflows (ingest, cleaning, analytics, dashboards) and make statistical and AI tooling more accessible across the company. * Collaborate with our ...

New

Partner with our Engineering Team to automate data workflows (ingest, cleaning, analytics, dashboards) and make statistical and AI tooling more accessible across the company. * Collaborate with our ...

New

Partner with Product Management, Engineering, Data Science, and Functional teams to gather, manipulate, analyze, and document raw, complex data and share cohesive data stories that make sense to ...

New

Collaborate with developers, GIS specialists, and system administrators to enhance data ... accessibility and performance. Qualifications Requirements: * Active Security Clearance (or ability ...

Collaborate with developers, GIS specialists, and system administrators to enhance data accessibility and performance. Requirements: * Active Security Clearance (or ability to obtain one)

Showing results 41-60

Data Engineer Data Bricks information

See DeForest, WI salary details

$44.8K

$130.6K

$178.6K

How much do data engineer data bricks jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer data bricks in DeForest, WI is $130,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,200.00 and $138,400.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Data Bricks vs Data Engineer Apache Spark?

AspectData Engineer Data BricksData Engineer Apache Spark
CredentialsTypically requires cloud platform certifications (Azure, AWS), Spark knowledge, and data engineering skillsRequires Spark expertise, programming skills, and often similar cloud certifications
Work EnvironmentCloud-based platforms with integrated tools, collaborative environment, managed servicesOn-premises or cloud, more manual setup, flexible environment
Industry UsagePopular in cloud-centric companies, data lakes, and analytics platformsWidely used across industries for big data processing, on-premises or cloud

Data Engineer Data Bricks focuses on cloud-based, managed Spark environments with integrated tools, while Data Engineer Apache Spark emphasizes core Spark skills applicable in various environments. Both roles require similar technical knowledge but differ mainly in platform and deployment context.

What cities near DeForest, WI are hiring for Data Engineer Data Bricks jobs?

Cities near DeForest, WI with the most Data Engineer Data Bricks job openings:

Infographic showing various Data Engineer Data Bricks job openings in DeForest, WI as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,552 per year, or $62.8 per hour.

Full-time

Re-posted 6 days ago


Job description

Sophisticated Work. In a Great City. Making a Difference.
The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB's investment professionals are Chartered Financial Analyst (CFA) charterholders.
The City of Madison, the state capitol and home of Wisconsin's flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits.
Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.
Job Description:
About the Team
Data Services & Engineering Teams at SWIB supports, implements & develops industry-leading systems and platforms to support SWIB's diverse and complex set of investment portfolios and strategies. The team at SWIB strives to be a trusted advisor and partner to the business that is valued as a critical contributor to SWIB's continued growth and success. We effectively leverage technology to derive the maximum value from it and achieve SWIB's business goals. We keep technology aligned with SWIB's future direction and operate SWIB's technology according to industry standards.
Position Overview
  • Enable data-driven decision-making through innovative analytical solutions and models.
  • Convey complex data concepts to technical and non-technical stakeholders.
  • Utilize programming languages such as Python and SQL for data manipulation, analysis, and model development.
  • Apply artificial intelligence and machine learning techniques to enhance data analysis, predictive modeling, and decision-making.
  • Act as a liaison between investment personnel and the supporting infrastructure regarding business process change management (IT, Operations, Legal, HR, Strategic Planning, etc.)
  • Implements data quality frameworks and conducting data validation ensuring accuracy of analysis.
  • Develop and deploy models, utilizing techniques such as regression, classification, and clustering.
  • Create interactive visualizations (e.g. Power BI, Streamlit) to effectively communicate data findings.
  • Deploy data solutions in cloud environments (e.g. Azure, AWS).
  • Utilize data warehousing technologies and platforms (e.g. Snowflake) to support analytics initiatives.

The ideal candidate:
  • Bachelor's degree or advanced degree in finance, business, engineering, computer science, computational economics, math, data science or a related program.
  • 1+ years of experience with data science, data analytics, investment analysis, or similar.
  • Proactively drives data-driven decision-making through innovative analytical solutions and models.
  • Exceptional verbal and written communication skills, adept at conveying complex data concepts to technical and non-technical stakeholders.
  • Proficient in programming languages such as Python, SQL, or R for data manipulation, analysis, and model development.
  • Experience applying artificial intelligence and machine learning techniques to enhance data analysis, predictive modeling, and decision-making.
  • Experience implementing data quality frameworks and conducting data validation ensuring accuracy of analysis.
  • Skilled in developing and deploying machine learning models, utilizing techniques such as regression, classification, and clustering.
  • Knowledge of cloud platforms (e.g. Azure, AWS) for data storage and processing, with experience in deploying data solutions in cloud environments.
  • Experience with data warehousing technologies and platforms (e.g. Snowflake) to support analytics initiatives.
  • Experience deploying reports utilizing automated processes Continuous Integration and Continuous Deployment techniques (CICD).
  • Experience implementing testing tools and data quality metrics/processes to ensure overall data quality of reports that are supported and developed.
  • Superb work ethic, attention to detail, team orientation, collaborative disposition, and commitment to excellence.
  • Interest or experience in investment management, quantitative finance and technology. Progress toward or completion of the CFA designation is preferred
  • Ability to follow rigor in creating/updating documentation, maintain process (i.e. JIRA tickets) and following technology and business best practices.

SWIB Offers:
  • Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
  • Comprehensive benefits package
  • Educational and training opportunities
  • Tuition reimbursement
  • Challenging work in a professional environment
  • Hybrid work environment

The position requires U.S. work authorization.
Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office or the job position. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.
All SWIB employees are subject to SWIB's Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB's talent acquisition team and any questions can be answered by SWIB's compliance team.