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Data Engineer Jobs in Madison, WI (NOW HIRING)

Suttle-Straus

VARIABLE DATA PROGRAMMER

Waunakee, WI · On-site

We are looking for a Variable Data Programmer to join our award-winning team! The ideal candidate is very detail oriented with experience in data manipulation, USPS regulations, list processing and ...

Suttle-Straus

VARIABLE DATA PROGRAMMER

Waunakee, WI

We are looking for a Variable Data Programmer to join our award-winning team! The ideal candidate is very detail oriented with experience in data manipulation, USPS regulations, list processing and ...

TDS

VARIABLE DATA PROGRAMMER

Waunakee, WI · On-site

We are looking for a Variable Data Programmer to join our award-winning team! The ideal candidate is very detail oriented with experience in data manipulation, USPS regulations, list processing and ...

TDS

VARIABLE DATA PROGRAMMER

Waunakee, WI · On-site

We are looking for a Variable Data Programmer to join our award-winning team! The ideal candidate is very detail oriented with experience in data manipulation, USPS regulations, list processing and ...

Paradigm

Data Engineering Developer

Middleton, WI · Remote

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 ...

Kaav Inc.

Sr AWS Cloud Engineer

Madison, WI · On-site

$56.25 - $75/hr

Collaborate with data engineering, business analysts, and development teams to design, develop, test, and maintain robust and scalable data pipelines from Workday to AWS Redshift. * Architect ...

Alliant Energy

Manager Data Engineering

Madison, WI · On-site

Manager Of Data Engineering Bring YOUR energy to Alliant Energy! At Alliant Energy, our purpose is to serve customers and build stronger communities. We are passionate about powering beyond the ...

HDR

Utility Data and Modeling Analyst

Madison, WI · On-site

Data Engineering, Analytics & Visualization * Perform data acquisition, cleaning, validation, and exploratory analysis on large datasets including SCADA data, metering data, GIS layers, and ...

Wisconsin

Data Scientist

Madison, WI

Our team of data scientists, software engineers, and AI engineers works shoulder-to-shoulder with faculty, students, and industry partners on problems across nearly every domain on campus. A typical ...

Elephas

Senior Data Scientist

Madison, WI · On-site

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

Elephas

Senior Data Scientist

Madison, WI · On-site

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

Alliant Energy

Manager Data Engineering

Madison, WI · On-site

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

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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.
Manager, Data Engineering - Archimedes

Manager, Data Engineering - Archimedes

Navitus Health Solutions

Madison, WI • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description


Manager, Data Engineering - Archimedes
Location
US-
ID
2026-6177
Category
Information Technology
Position Type
Full-Time
Remote
Yes
Company
Archimedes
About Us
Archimedes - Transforming the Specialty Drug Benefit - Archimedes is the industry leader in specialty drug management solutions. Founded with the goal of transforming the PBM industry to provide the necessary ingredients for the sustainability of the prescription drug benefit - alignment, value and transparency - Archimedes achieves superior results for clients by eliminating tightly held PBM conflicts of interest including drug spread, rebate retention and pharmacy ownership and delivering the most rigorous clinical management at the lowest net cost. .____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________. Current associates must use SSO login option at https://employees-navitus.icims.com/ to be considered for internal opportunities.________We are committed to providing equal employment opportunity to all applicants and employees and comply with all applicable nondiscrimination regulations, including those related to protected veterans and individuals with disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or handicap.
Pay Range
USD $0.00 - USD $0.00 /Yr.
STAR Bonus % (At Risk Maximum)
0.00 - Ineligible
Work Schedule Description (e.g. M-F 8am to 5pm)
Core Business Hours- Remote or Hybrid 3 Days in Office from our St. Louis, MO or Brentwood, TN offices
Remote Work Notification
ATTENTION: Archimedes is unable to offer remote work to residents of Alaska, Arizona, Arkansas, California, Connecticut, Delaware, Hawaii, Idaho, Louisiana, Maine, Massachusetts, Michigan, Mississippi, Montana, Nebraska, Nevada, New Mexico, New York, North Carolina, North Dakota, Oregon, Rhode Island, South Carolina, South Dakota, Texas, Utah, Vermont, Washington, West Virginia, And Wyoming.
Overview

The Manager, Data Engineering is responsible for leading the design, implementation, operation, and modernization of the organization's enterprise data platform, lakehouse architecture, data integration ecosystem, and AI-ready data foundation. This role provides both technical leadership and people leadership across Data Engineering, Data Integration, DataOps, and enterprise data modernization initiatives. Operating within an Azure-first, Databricks-centric environment, the Manager, Data Engineering leads the organization's transition from traditional SQL-centric ETL architectures toward modern cloud-native lakehouse platforms utilizing Azure Databricks, Delta Lake, Unity Catalog, Azure Data Lake Storage Gen2, Azure Data Factory, APIs, event-driven architectures, and modern DataOps practices. This is a hands-on leadership role responsible for establishing enterprise data architecture standards, canonical data models, master data management strategies, data governance controls, data quality frameworks, integration patterns, and AI-ready data products supporting analytics, machine learning, intelligent automation, robotic process automation (RPA), generative AI, and operational decision-making.


The Manager, Data Engineering directly leads Data Engineers and Data Integration Engineers while remaining actively engaged in architecture, design reviews, platform modernization, solution delivery, and technical mentoring. The role partners closely with Software Engineering, Cloud Engineering, DevOps, Security, Analytics, Compliance, and business stakeholders to deliver scalable, secure, governed, and reusable enterprise data assets. The Manager, Data Engineering is accountable for both current-state ETL and integration operations as well as the long-term transformation toward cloud-native data platforms, lake house architectures, enterprise data products, and AI-enabled business capabilities.

Responsibilities

How do I make an impact on my team?

    Lead and support the organizational data integration efforts by effectively developing and leading a team of data integration developers, engineers, architects, and managers.
  • Establish enterprise data architecture standards, canonical data models, data domains, and data product strategies.
  • Lead the modernization of legacy SQL Server ETL workloads into Azure Databricks and Lakehouse architectures.
  • Define and govern Bronze, Silver, and Gold data layer standards.
  • Establish enterprise data dictionaries, business glossaries, metadata management, and lineage standards.
  • Lead development of AI-ready data products supporting machine learning, predictive analytics, intelligent automation, RAG, and agentic AI solutions.
  • Define enterprise DataOps practices including CI/CD, automated testing, observability, data quality, and deployment automation.
  • Lead the design and implementation of data integration and data lake house solutions.
  • Lead collaboration efforts with IT teams to ensure robust and scalable data architecture is established and meeting company objectives.
  • Lead the establishment of data validation and reconciliation processes to maintain data accuracy.
  • Partner with business stakeholders to understand data requirements and deliver solutions that meet their needs.
  • Assess the current data services processes, identify challenges, quantify the business value, establish procedures to address challenges, and support the future state model and vision definition.
  • Stay current with industry trends and advancements in data integration and management technologies.
  • Lead healthcare data integration initiatives involving claims, eligibility, pharmacy, clinical, financial, operational, and partner data sources.
  • Serve as technical authority for data modeling, canonicalization, master data management, and enterprise data governance practices.
  • Provide direct leadership, coaching, hiring, and performance management for Data Engineers and Data Integration Engineers.
  • Participate in architecture reviews and remain actively engaged in solution design, platform modernization, and technical delivery.
  • Develop training plans to foster growth and development across functional areas to meet expanding technology needs. Research and develop learning needs for ongoing system developments with contractors.
  • Continuously review and monitor technology resources and gap analysis, establish criteria and make recommendations for advancement.
  • Develop and implement a comprehensive data management strategy aligned with strategic objectives. Establish resources, tools and direction for each functional leader.
  • Establish data integration policies and procedures to ensure data accuracy, security, and compliance with regulatory requirements.
  • Participate in, adhere to, and support compliance, people and culture, and learning programs.
  • Perform other duties as assigned.

Qualifications

What our team expects from you?

  • Education: Bachelor's degree in the field of computer science, information systems, or data science required.
  • Experience:
    • 10+ years of experience in Data Engineering, Data Architecture, Analytics Engineering, Data Integration, or Data Platform Engineering required.
    • 5+ years leading Data Engineering teams required.
    • Experience designing and implementing Databricks Lakehouse architecture required.
    • Experience establishing canonical data models, enterprise data products, metadata management, and governance frameworks required.
    • Experience supporting AI, machine learning, analytics, and automation initiatives through modern data engineering practices required.
    • Experience modernizing legacy ETL and SQL-based architectures into cloud-native platforms required.
    • Experience with healthcare data domains strongly preferred.
    • Advanced experience and skills in data ingestion, data architecture, and data integration techniques required.
    • Proficiency in data integration tools and languages (e.g., SQL, Linux, Python, ETL tool) required.

What can you expect from Archimedes?

  • Top of the industry benefits for Health, Dental, and Vision insurance
  • 20 days paid time off
  • 4 weeks paid parental leave
  • 9 paid holidays
  • 401K company match of up to 5% - No vesting requirement
  • Adoption Assistance Program
  • Flexible Spending Account
  • Educational Assistance Plan and Professional Membership assistance
  • Referral Bonus Program - up to $750!

Location : Address
Remote
Location : Country
US

Apply