1

Manager Data Analytics Engineer Jobs in Madison, WI

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Support and comply with the company's Quality Management System policies and procedures. * Maintain ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

... analytics, predictive models, and genetic evaluations. * Advocate for best practices in managing ... data engineering technologies. * Continuously improve skills and knowledge through training and ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

... analytics, predictive models, and genetic evaluations. * Advocate for best practices in managing ... data engineering technologies. * Continuously improve skills and knowledge through training and ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

... analytics, predictive models, and genetic evaluations. * Advocate for best practices in managing ... data engineering technologies. * Continuously improve skills and knowledge through training and ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

... analytics, predictive models, and genetic evaluations. * Advocate for best practices in managing ... data engineering technologies. * Continuously improve skills and knowledge through training and ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

... analytics, predictive models, and genetic evaluations. * Advocate for best practices in managing ... data engineering technologies. * Continuously improve skills and knowledge through training and ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

... analytics, predictive models, and genetic evaluations. * Advocate for best practices in managing ... data engineering technologies. * Continuously improve skills and knowledge through training and ...

... data engineers, and data architects as needed, coordinating work through influence rather than formal authority. • ensure delivered data products comply with governance standards, surface ...

New

Data Analyst

Madison, WI · Remote

$115K/yr

Stay current with emerging trends and technologies in business intelligence, data engineering, and analytics Qualifications: * Bachelor's Degree in Computer Science, Information Technology, or ...

Data Analyst

Madison, WI · Remote

$115K/yr

Stay current with emerging trends and technologies in business intelligence, data engineering, and analytics Qualifications: * Bachelor's Degree in Computer Science, Information Technology, or ...

... high-impact analytics and reporting solutions to drive sound business decision-making. This ... and engineering initiatives. * This is a remote position. * Candidates must live and work in ...

Pandata Group is a cloud-first data analytics services firm that builds data-driven communities ... Exposure to developer tools/ workflow (e.g. git/github, SSH) * Knowing how to get around a command ...

Manage data collection and reporting for product recalls * Perform Quality System trending to ... Experience with statistical analysis software (e.g., Minitab preferred) Organizational Relationship ...

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

next page

Showing results 1-20

Manager Data Analytics Engineer information

See Madison, WI salary details

$44.8K

$130.7K

$178.9K

How much do manager data analytics engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for manager data analytics 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 Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are the most commonly searched types of Data Analytics Engineer jobs in Madison, WI? The most popular types of Data Analytics Engineer jobs in Madison, WI are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Madison, WI? For Manager Data Analytics Engineer jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Madison, WI look for? The top searched job categories for Manager Data Analytics Engineer jobs in Madison, WI are:
What cities near Madison, WI are hiring for Manager Data Analytics Engineer jobs? Cities near Madison, WI with the most Manager Data Analytics Engineer job openings:
Infographic showing various Manager Data Analytics Engineer job openings in Madison, WI as of July 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 70% In-person, 10% Hybrid, and 20% Remote job distribution, with an average salary of $130,706 per year, or $62.8 per hour.
Sr. Data Engineer

$115K - $138K/yr

Full-time, Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Exact Sciences rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

21st of 105 rated laboratories


Job description

Help us change lives

At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.

Position Overview

At Exact Sciences now Abbott, we are cancer fighters. We are united by our mission to change lives by providing earlier, smarter answers. Through advances in cancer detection and treatment guidance, we will help eradicate the disease and the suffering it causes.

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 testing of software applications for Exact Sciences, creating expert design concepts and foolproof debugging.  This role will be able to resolve most issues and problems effectively with minimal oversight, communicate effectively with business stakeholders and mentor junior team members.  This role will routinely make key decisions for the team, be accountable for application quality, and be highly productive.

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 database architectures to address business requirements, ensuring system scalability, security, performance, and reliability. Additionally, you will design and document database applications such as interfaces, data transfer mechanisms, and data partitions to enable efficient access of the generic database structure.

This role is based in Madison, WI.

Essential Duties

Include, but are not limited to, the following:

  • Has complete knowledge, skills, and understanding of practices for complex programs and initiatives demonstrating creativity and substantial understanding of specialized techniques, processes, procedures.
  • Troubleshoot issues and problems of medium complexity for major software applications; break down complex tasks, make reasonable decisions, investigate and fix bugs, and operate independently.
  • Initiate independent designs that impact and influence the department’s delivery and approach. Lead reviewing design alternatives, problems, and solutions with an eye on limiting the need for later problem solving.
  • Consistently influence and make significant decisions within a project, demonstrating good judgment in selecting methods and techniques for obtaining solutions based in a solid understanding of business strategy and best practices with minimal instructions for difficult or unpredictable situations.
  • Contribute individual capabilities to the achievement of group objectives, and work effectively with others in a group setting. This includes mentoring, coaching, and technical guidance for junior members of the team.
  • Build successful internal and external partnerships with peers, SMEs, stakeholders, and decision-makers.
  • Communicate clear and concise project plans/designs and status updates for a project.
  • Ability to work nights and/or weekends, as needed.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company’s Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications

  • Bachelor’s Degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering; or High School Diploma/General Education Degree and 4 years of relevant experience as outlined in the essential duties in lieu of Bachelor’s Degree.
  • Complete knowledge and full understanding of software development design and development, and relevant domain specific skills (see below).
  • Spark on Snowflake or Databricks.
  • Python, Scala, SQL development.
  • ETL data pipelines.
  • Designing and implementing data modeling solutions using relational, dimensional, and/or NoSQL databases.
  • Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
  • Big Data file formats (Parquet, Avro, Delta Lake).
  • Cloud Infrastructure services (i.e., AWS, SQS, S3, and GitLab).
  • Agile development tools; including, but not limited to, JIRA, Confluence repository.
  • RestAPI development.
  • Tableau, ideally including performance optimization.
  • Demonstrated ability to perform the essential duties of the position with or without accommodation.
  • Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis.  We are unable to sponsor or take over sponsorship of employment visas at this time.

Preferred Qualifications

  • Advanced understanding of Model Context Protocol (MCP), including consuming packaged MCP integrations (e.g., Atlassian), configuring custom MCP servers, and developing MCP and skills integrations to extend AI tooling within data workflows.
  • Familiarity with customer data platform (CDP) concepts, Braze or other patient/provider communications workflows/processes.

#LI-CB1

Salary Range:

$101,000.00 - $172,000.00

 

The annual base salary shown is for this position located in US - WI - Madison on a full-time basis. In addition, this position is bonus eligible.

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.


What Exact Sciences employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom