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Data Engineer Data Analyst Jobs in Madison, WI (NOW HIRING)

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...

Data Engineer I Job Summary: The Center for Health Disparities Research (CHDR), led by Director Dr ... Implements data analysis steps in collaboration with data scientists, statisticians, and/or other ...

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team ...

POSITION OVERVIEW : You're a Data Analyst who loves building insightful dashboards as much as you do finding the story buried within them. You're comfortable in the numbers, but you don't live there.

POSITION OVERVIEW : You're a Data Analyst who loves building insightful dashboards as much as you do finding the story buried within them. You're comfortable in the numbers, but you don't live there.

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

As a Data Engineer, you'll play a critical role in shaping and executing Summit's data strategy ... Analyze complex datasets to identify trends, answer business questions, and support informed ...

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

As a Data Engineer, you'll play a critical role in shaping and executing Summit's data strategy ... Analyze complex datasets to identify trends, answer business questions, and support informed ...

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 IT solutions that deliver advanced data analytics capabilities to the organization. You will develop ...

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 IT solutions that deliver advanced data analytics capabilities to the organization. You will develop ...

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 IT solutions that deliver advanced data analytics capabilities to the organization. You will develop ...

Data Engineer

Whitewater, WI · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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Showing results 1-20

Data Engineer Data Analyst information

See Madison, WI salary details

$34.3K

$83.3K

$137K

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

As of Aug 11, 2026, the average yearly pay for data engineer data analyst in Madison, WI is $83,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,700.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Madison, WI? For Data Engineer Data Analyst jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Madison, WI look for? The top searched job categories for Data Engineer Data Analyst jobs in Madison, WI are:
What cities near Madison, WI are hiring for Data Engineer Data Analyst jobs? Cities near Madison, WI with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Madison, WI as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $83,270 per year, or $40 per hour.

$120K/yr

Full-time

Posted 24 days ago


Job description

Rural Mutual Insurance is looking for an experienced and motivated data professional to play a critical role in the design, development, and maintenance of the company’s data warehouse and related data marts. As a Data Engineer, you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence initiatives. The ideal candidate will have a deep understanding of data engineering and data modeling principles, with a proven track record of designing, implementing, and maintaining robust and scalable data pipelines and data models on cloud technologies. 

This is a remote position with periodic on-site presence required. Candidates must live and work in Wisconsin and have eligibility to work in the United States without sponsorship. 

If you're ready to be part of a team that values your expertise and encourages your professional growth, apply today!

Rural Mutual, a leading property and casualty insurance company based in Wisconsin, is well known for its financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees. Committed to our employees and their families, we offer a suite of benefits promoting health and wellness. We prioritize work-life balance, offering flexible start times as well as summer hours for this role. Join our experienced and talented team of IT professionals dedicated to excellence, innovation, and collaboration. 

Compensation:

$105,000 - $120,000 yearly


Responsibilities:
  • Architect, design, and implement scalable data pipelines and integration frameworks that support enterprise analytics, reporting, and data-driven decision-making.

  • Optimize data pipelines and models for performance, scalability, and cost-efficiency.

  • Design and implement dimensional (star schema) data models that accurately represent business processes and support analytical needs.

  • Partner with business stakeholders, analysts, and technical teams to translate complex business requirements into scalable and sustainable data solutions.

  • Implement data validation and quality checks to ensure the integrity and accuracy of the data and subsequent analytics.

  • Monitor and maintain data pipelines and systems, identify issues, and implement solutions to ensure continuity and uptime.

  • Create and maintain comprehensive documentation for data pipelines and models.

  • Evaluate emerging technologies and recommend improvements to the organization's data architecture, engineering and modeling practices.


Qualifications:
  • Bachelor’s Degree in Computer Science, Data Analytics, Software Engineering, or related field, or an equivalent combination of education and experience.

  • Proven experience designing, implementing, and supporting enterprise data warehouse and analytics solutions.

  • Deep expertise designing and optimizing modern data integration and enterprise-scale ETL/ELT solutions using Fivetran and dbt.

  • Strong experience designing and supporting Snowflake-based data warehouse solutions.

  • Strong with SQL and other programming languages. (Python preferred)

  • Experience with version control and code management within a multi-tier code repository.

  • Experience in designing and implementing dimension (star schema) data models

  • Proven ability to translate business requirements into successful data solutions.

  • Experience using Infrastructure as Code tools. (preferred)

  • Experience in the property and casualty insurance industry. (preferred)

  • Candidate must live and work in Wisconsin.

  • Eligible to work in the United States without sponsorship.


About Company

What You'll Love About Rural Mutual Insurance:

We are a leading property and casualty insurance company based in Wisconsin, well known for our financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees.

We created a welcoming place to work with friendly and professional leadership. We are known for the great care we take with our staff, our agents, and our customers. We are passionate and determined about delivering the best customer service, preserving insurance industry knowledge, and making a difference through the work that we do.

We believe in a healthy work/life balance and, to that end, offer a competitive and comprehensive compensation package including health, dental, life, LTD, and vision insurance as well as an employee bonus plan, matching 401(k) plan, and generous time off benefits. Rural Mutual is an Equal Opportunity employer.