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Data Engineer Jobs in Madison, WI (NOW HIRING)

Vertex Group

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Data Engineer Location: Minneapolis, MN and Madison, WI (Locals Only) HYBRID Duration : 6 Months Contract to Hire heavy Azure experience with that Lakehouse, Data Lake and SQL and Python experience ...

Wisconsin

Data Engineer

Madison, WI · On-site

$50K/yr

Data Engineer I Job Summary: About Us: The Institute on Aging is a research unit whose mission is to promote the health and well-being of the adult and aging populations through excellence in ...

Bespoke Labs

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 ...

Bespoke Labs

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 ...

Baker Tilly US

Associate Data Engineer

Madison, WI · On-site

$115K - $138K/yr

The Associate Data Engineer will design, build, and optimize modern data solutions, transforming raw data into analytics-ready assets and collaborating with various stakeholders. Responsibilities ...

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Urus

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Trans Ova Genetics

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Farm Systems

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Urus Group LP

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

CFS

Senior Data Engineer

Madison, WI

$150K/yr

Sr. Data Engineer | Permanent | No Sponsorship Available ABOUT OUR CLIENT * The company is financially sound, yet their success is not just defined by their profits; it's about living their core ...

Moxe

Senior Data Engineer

Madison, WI

$120 - $160K/hr

The Senior Data Engineer is responsible for software development and data engineering projects. Identifies and executes tasks in the software development life cycle, reviews and debugs codes. They ...

Exact Sciences

Staff Data Engineer - Science

Madison, WI

$115K - $138K/yr

As a Staff Data Engineer, this extremely seasoned professional will demonstrate competence and creativity in a wide range of technical areas. This role will have a lead role in the design ...

Blain's Farm & Fleet

IT Data Engineer

Janesville, WI · On-site +1

$72K - $90K/yr

Job Duties As a Data Engineer, you will play a key role in designing, implementing, and maintaining our data integrations, storage and access solutions. You will work closely with cross-functional ...

Bakertilly

Associate Data Engineer

Madison, WI

$85K - $162K/yr

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data solutions for our midmarket and enterprise clients. Working primarily inside the Microsoft stack ...

Baker Tilly US

Data Solution Architect

Madison, WI · On-site

They are seeking a Data Solution Architect to design and implement scalable data engineering solutions, develop data pipelines, and collaborate with analytics teams to integrate data assets into ...

1 point system

Senior Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Python (PySpark preferred) Data Platforms / Storage * Cloud data platforms (Azure preferred; AWS/GCP acceptable) * Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent * Object storage-based data ...

Bakertilly

Data Solution Architect

Madison, WI

$123K - $234K/yr

Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions using the Microsoft Analytics ecosystem. * Develop and maintain data pipelines, ensuring ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Madison, WI

Data Engineer information

See Madison, WI salary details

$44.8K

$130.7K

$178.9K

How much do data engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data engineer in Madison, WI is $130,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $138,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Madison, WI? The most popular types of Data Engineer jobs in Madison, WI are:
What are popular job titles related to Data Engineer jobs in Madison, WI? For Data Engineer jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Madison, WI look for? The top searched job categories for Data Engineer jobs in Madison, WI are:
What cities near Madison, WI are hiring for Data Engineer jobs? Cities near Madison, WI with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Madison, WI as of June 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $130,706 per year, or $62.8 per hour.

Data Engineer

Vertex Group

Madison, WI • On-site

$115K - $138K/yr

Other

Posted 4 days ago

Job description

JOB Title: Data Engineer

Location: Minneapolis, MN and Madison, WI (Locals Only) HYBRID

Duration: 6 Months Contract to Hire

heavy Azure experience with that Lakehouse, Data Lake and SQL and Python experience necessary to be successful. Also must have the dbt experience as well!

Role Summary:

Senior, handson data engineering contractor to support Modern data platform delivery across Health Payer Domains. This role requires independent ownership of endtoend data pipelines using modern cloud and Lakehouse architecture. This is a hitthegroundrunning role with minimal rampup.

  1. Key Responsibilities:
  • Design, build, and operate endtoend data pipelines
  • Source ingestion transformation analyticsready datasets
  • Develop transformations and data models using SQL and Python
  • Implement automated data quality checks and validations
  • Follow Gitbased development
  • Collaborate with business/domain stakeholders on data rules and definitions
  • Ensure solutions are secure, auditable, reliable, and supportable
  • Produce clear technical documentation and operational notes
  1. Required Technologies (MustHave)

Candidates must have strong, recent handson experience with most of the following:

Languages:

  • SQL
  • Python (PySpark preferred)

Data Platforms / Storage:

  • Cloud data platforms (Azure preferred; AWS/Google Cloud Platform acceptable)
  • Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent
  • Object storage based data lakes
  • Parquet format
  • Lakehouse concepts (Iceberg and/or Delta)

Transformation & Modeling:

  • dbt (dbt Core and/or dbt Cloud)

Source Control, GitOps & CI/CD:

  • GitHub
  • Pull request based development
  • CI/CD pipelines (GitHub Actions or equivalent)

Compute (one or more):

  • Snowflake
  • Microsoft Fabric
  • Databricks
  1. Preferred / NicetoHave Technologies:
  • Microsoft Fabric Data Factory / Azure Data Factory
  • Fabric or Databricks Notebooks
  • Orchestration tools (Airflow, Dagster, or similar)
  • Healthcare / payer domain experience (Clinical, Claims, Provider)
  1. Required Experience:
  • 7+ years of handson data engineering experience
  • Proven delivery of productiongrade data pipelines
  • Experience working independently with minimal supervision
  • Strong understanding of data quality, reliability, and operational readiness
  1. Ideal Candidate Profile:
  • Senior, handson data engineer
  • Engineering generalist (not toolonly or reportingonly)
  • Comfortable working in ambiguous, fastmoving environments
  • Strong delivery and ownership mindset

Apply