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Data Engineering Jobs in Madison, WI (NOW HIRING)

We are looking for a Data Engineering Developer to join our team. If you love data - cleaning it, digging in it, understanding what type of insights stakeholders want from it and helping them ...

We're searching for a visionary Manager of Data Engineering who can blend strong people leadership with handson technical depth-someone fluent in both legacy data platforms and the modern cloud ...

We're searching for a visionary Manager of Data Engineering who can blend strong people leadership with handsโ€‘on technical depth--someone fluent in both legacy data platforms and the modern cloud ...

Data Engineer

Madison, WI ยท On-site

$115K - $138K/yr

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 ...

Sr. Data Engineer

Madison, WI ยท 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Engineer

Madison, WI ยท 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 ...

Data Engineer

Whitewater, WI ยท 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

Whitewater, WI

$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

$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 ...

Senior Data Engineer

Madison, WI ยท On-site

$155K - $175K/yr

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field. * 7+ years of experience designing and supporting enterprise data platforms. * Extensive hands-on ...

New

Apply Early

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 ...

IT Data Engineer

Janesville, WI ยท On-site +1

$72K - $90K/yr

Bachelor's degree in computer science, Information Technology, or a related field. * 1-3 years' data engineering experience * Experience with data modeling, database design, and optimization

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Data Engineering information

See Madison, WI salary details

$46.4K

$166.4K

$245.5K

How much do data engineering jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data engineering in Madison, WI is $166,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,600.00 and $171,400.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure 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 optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Madison, WI? The most popular types of Data Engineering jobs in Madison, WI are:
What are popular job titles related to Data Engineering jobs in Madison, WI? For Data Engineering jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Madison, WI look for? The top searched job categories for Data Engineering jobs in Madison, WI are:
What cities near Madison, WI are hiring for Data Engineering jobs? Cities near Madison, WI with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Madison, WI as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $166,394 per year, or $80 per hour.

Data Engineering Developer

Paradigm

Middleton, WI โ€ข Remote

Full-time

Posted 20 days ago


Job description

If opportunity doesnโ€™t knock, build a door. - Milton Berle

Come build your door with us. Itโ€™s what we do here.

At Paradigm, we make world-class software and deliver high-quality professional services for the building products industry. Our success is tied directly to our customersโ€™ success, so we do what it takes to make sure theyโ€™re successful. And we know that we couldnโ€™t do it without our awesome employees.

We are looking for a Data Engineering Developer to join our team. If you love data - cleaning it, digging in it, understanding what type of insights stakeholders want from it and helping them navigate through it - letโ€™s talk.

What You Will Do:

  • You will be responsible for creating and maintaining optimal data pipeline architecture using Spark, Python, SQL, and other tools.

  • You will assemble large, complex data sets that meet functional/non-functional business requirements.

  • You will work with technical and non-technical teams to provide data-driven insights.

  • You will identify issues related to data, data sources and processing.

  • You will monitor reporting solutions & make sure that data sets are correct & troubleshoot any issues.

  • You will be responsible for customer issue tickets - including reviewing existing solutions and looking holistically at our services to identify trends that may need a larger review.

  • You will document methodologies, variations, and QA processes.

  • You will intake, identify, document, and share findings and insights to stakeholders, both internal and external.

  • You may work cross departmentally to be a data SME for other teams.

What You Need to Succeed:

  • You have a bachelorโ€™s degree (ideally in Comp Sci, Math, Economics, or Statistics).

  • You have 5 yearsโ€™ experience in programming or data engineering.

  • You are very knowledgeable in Python. Knowledge of other JVM languages like Kotlin, Java and Scala, is a plus.

  • You have advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases.

  • You have a deep understanding of Apache Spark, especially as part of Azure Databricks.

  • You are familiar with the Unity Catalog, Spark Declarative Pipelines (aka Delta Live Tables), and Delta Sharing.

  • You have knowledge of technology related to data transformation and data structures.

  • You think critically and are not afraid to be wrong (but you love learning from your successes and your mistakes).

  • You have excellent requirement gathering and independent problem-solving skills.

  • You understand AI as a tool to leverage, with a deep understanding of the required output.

  • You have excellent communication skills (both written & verbal) - including the ability to translate technical concepts to people without technical expertise.

  • You are organized with strong attention to detail and excellent follow-through.

  • You are agile and able to adapt to changing demands and manage multiple priorities in a fast-paced environment.

  • You are self-motivated and resourceful, with strong interpersonal skills; able to work individually as well as with a team.

Ready to Join? Apply now! MyParadigm.com/careers