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Data Engineer Jobs in Madison, WI (NOW HIRING)

CFS

Data Engineer

Madison, WI · On-site

$160K/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 ...

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 ...

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 ...

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 · On-site

$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 ...

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 ...

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 ...

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

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 ...

Exact Sciences

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

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 ...

Exactsciences

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

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 ...

Summit Credit Union

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. Through technical expertise, innovation, and collaboration, you'll help ensure our data is accurate ...

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 ...

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 ...

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 · On-site

$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 Jul 18, 2026, the average yearly pay for data engineer in Madison, WI is $130,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $138,600.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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 July 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $130,725 per year, or $62.8 per hour.
Data Engineer

Data Engineer

CFS

Madison, WI • On-site

$160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

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 values.
  • Ton of opportunity for growth and providing a better place to live and work!
  • The company boasts a team-oriented culture and provides its employees with the tools and training necessary to perform.
  • Huge Employee Perks!

BENEFITS & COMPENSATION

  • Compensation: Up to $160,000 per year + 8% annual bonus
  • PTO: Unlimited
  • Retirement: 401K w/ a match
  • Medical: Health, vision, and dental plans available for individuals and families.

RESPONSIBILITIES FOR THE SR. DATA ENGINEER

  • Design, develop, and maintain robust ETL pipelines using Databricks, Python, Spark and SQL
  • Migrate legacy SSIS packages to modern Databricks solutions
  • Maintain and optimize existing SSIS packages and SSRS reports
  • Participate in data warehouse design and implementation
  • Implement data quality checks and validation processes
  • Collaborate with business users to understand reporting requirements
  • Troubleshoot and resolve performance issues across data platforms
  • Document all development work and procedures thoroughly

PREFERRED EXPERIENCE FOR THE SR. DATA ENGINEER

  • High level proficiency in data integration and reporting
  • Extensive experience with Databricks, Python, Spark, and Delta Lake
  • Strong proficiency in SQL Server, T-SQL, stored procedures, and functions
  • Experience with SSIS and SSRS development and maintenance
  • Knowledge of data warehousing concepts and best practices

Timing is everything. Whether you are aggressively in a job search or simply passive and looking for the ideal position, we would like to have the chance to share our opportunities with you. We specialize in placement of IT professionals. Please contact me for more information about this role as well as other opportunities.

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