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Senior Data Engineering Jobs in Wisconsin (NOW HIRING)

As the Director, Data Engineering , you'll serve as Cancer Diagnostics' senior data executive - setting the enterprise data strategy, governance model, and analytics roadmap that shape how the ...

As the Director, Data Engineering , you'll serve as Cancer Diagnostics' senior data executive - setting the enterprise data strategy, governance model, and analytics roadmap that shape how the ...

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

Establish and lead product engineering and software standards * Ideate a new product from a user ... Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER * Develop, automate ...

Serves as a senior technical expert for optimization, AI, and advanced analytics, providing ... Partner closely with data engineers to ensure robust data pipelines and high-quality, connected ...

WI · On-site

If you are a senior software developer/Computer Scientist - you may be able to cross over to Data Science! Need a challenge in your work? Want to make a positive impact on U.S. National Security? We ...

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

Define and evolve data integration frameworks, engineering standards, reusable patterns, and governance practices for a modern cloud data platform. * Design scalable Snowflake data architectures ...

Senior Data Engineer

Menomonee Falls, WI · On-site

$106K - $144K/yr

Establish and lead product engineering and software standards * Ideate products from user problem ... Ensure PCI and PII data compliance * Integrate GenAI tools for data quality and analytics ...

Senior Data Engineer

Madison, WI

$105K - $143K/yr

A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is expected. Responsibilities Data Integration * Design, develop, and maintain robust and efficient ETL ...

Senior Data Engineer

Madison, WI · On-site

$105K - $143K/yr

A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is expected. Responsibilities Data Integration * Design, develop, and maintain robust and efficient ETL ...

Senior Data Engineer

Madison, WI · On-site

$105K - $143K/yr

A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is expected. Responsibilities Data Integration * Design, develop, and maintain robust and efficient ETL ...

Senior Data Engineer

Watertown, WI · On-site +1

$101K - $137K/yr

A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is expected. Responsibilities Data Integration * Design, develop, and maintain robust and efficient ETL ...

Senior/Principal Data Analyst

Eau Claire, WI · On-site

$85K - $107K/yr

Position Summary for Sr Data Analyst Responsible for defining, implementing and supporting advanced ... Programming: Develop efficient and high quality code; follow solid validation process to ensure ...

New

... Senior Data Scientist. Applicants should be comfortable in a fast-paced and collaborative ... Experience programming in Python is preferred * Knowledge of machine learning, data science, data ...

WI · On-site

$97K - $131K/yr

* Lead data engineering projects at scale across multiple teams * Plan and deliver complex, multi ... Proven ability to mentor staff and senior engineers Core Competencies Demonstrates expertise in ...

This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling, metadata and context engineering, and modern ...

Senior AI Data Engineer

Wauwatosa, WI · On-site

$121K - $151K/yr

This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling, metadata and context engineering, and modern ...

WI · On-site

$97K - $131K/yr

At the senior level, mentor other contributors and raise the overall data engineering practice of ... Four to eight years of data engineering experience, including production ownership of pipelines the ...

Showing results 41-60

Senior Data Engineering information

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What are the key skills and qualifications needed to thrive as a senior data engineer?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineering jobs in Wisconsin?

The most popular types of Data Engineering jobs in Wisconsin are:

What are popular job titles related to Senior Data Engineering jobs in Wisconsin?

For Senior Data Engineering jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineering jobs in Wisconsin look for?

The top searched job categories for Senior Data Engineering jobs in Wisconsin are:

What cities in Wisconsin are hiring for Senior Data Engineering jobs?

Cities in Wisconsin with the most Senior Data Engineering job openings:

Infographic showing various Senior Data Engineering job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Director, Data Engineering

Madison, WI • On-site

Full-time

Medical, Retirement

Posted 22 days ago


Key responsibilities

  • Establish and own the enterprise data strategy, defining the vision, roadmap, and investment priorities for the division.

  • Lead the creation and management of data governance, ensuring compliance, data quality, and appropriate use of data and algorithms.

  • Oversee the integration, staging, and maintenance of data infrastructure such as data lakes, data warehouses, and data marts for division-wide use.


Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 139 frontline employees who took The Breakroom Quiz


Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You'll also have access to:

  • Career development with an international company where you can grow the career you dream of.
  • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
  • An excellent retirement savings plan with a high employer contribution.
  • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree.
  • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
  • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This position works out of our Madison, WI location in the Cancer Diagnostics division.

Cancer Diagnostics is Abbott's newest growth platform, formed through the 2026 acquisition of Exact Sciences, bringing together market-leading cancer screening tests with an emerging pipeline of next-generation, early-detection diagnostics.

As the Director, Data Engineering, you'll serve as Cancer Diagnostics' senior data executive - setting the enterprise data strategy, governance model, and analytics roadmap that shape how the division generates insight, deploys AI, manages compliance, and competes in the market.

What You'll Work On

  • Establish and own Cancer Diagnostics' enterprise data strategy, defining the vision, roadmap, and investment priorities that maximize the value of the company's data assets across all functions and business units.
  • Work with executives across all functions to establish the vision for managing data as a business asset for Cancer Diagnostics; using research, analysis, and data sciences techniques to maximize the return on data assets.
  • Ensure that use cases for data are articulated, understood, and communicated to all stakeholders such that opportunities are addressed.
  • Execute data strategy; including, but not limited to, the definition of data and analytics strategy practices and implementation of data related capabilities and competencies required to execute the strategy.
  • Establish the governance of data and algorithms used for analysis, analytical applications, and automated decision making.
  • Lead the creation and assure the ongoing relevance of division data and analytics strategy in collaboration with business stakeholders.
  • Identify new kinds, types, and sources of data to enable business innovation throughout the organization; define processes for the effective integrated introduction of new data.
  • Lead regulatory and compliance programs related to data and analytics assets.
  • Ensure that appropriate audit controls exist for data that serve as the source material for regulatory reports.
  • Develop and maintain controls on data quality, interoperability, and sources to effectively manage the corporate risk associated with the use of data and analytics.
  • Participate in governance domains; including, but not limited to, business strategy and planning, management and financial reporting, enterprise architecture, IT strategy and planning, risk and compliance, and marketing strategy and planning.
  • Define, manage, and advance enterprise information management principles, policies, and programs for stewardship, advocacy, and custodianship of data.
  • Oversee the integration and staging of data and the development and maintenance of the data lakes, data warehouse, and data marts, for use by teams throughout the division.
  • 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.
  • Regular and reliable attendance.
  • Ability to travel 25% of working time away from work location, may include overnight/weekend travel.

Required Qualifications

  • Bachelor's Degree in a field related to essential duties; or Associate's Degree and 2 years of relevant experience; or High School Diploma/GED and 4 years of relevant experience.
  • 18 years of progressive experience in data and software engineering, digital platforms, or enterprise technology leadership.
  • 10 years of progressive leadership experience leading cross-functional and enterprise teams.
  • Proven track record delivering large-scale digital and data transformation initiatives in complex, regulated, or global environments.

Preferred Qualifications

  • Expertise in modern cloud platforms (AWS, Azure, or GCP), distributed data systems, and contemporary data engineering frameworks.
  • Strong knowledge of AI/ML data pipelines, metadata management, and MLOps best practices.
  • Exceptional leadership, communication, and collaboration skills, with experience influencing senior executives and boards.
  • Experience managing multi-functional engineering teams and vendor/partner ecosystems.

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at abbott.com, on LinkedIn at linkedin.com/company/abbott-, and on Facebook at facebook.com/AbbottCareers.

The base pay for this position is

$171,300.00 - $342,700.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Product DevelopmentDIVISION:ONCO Cancer DiagnosticsLOCATION:United States > Madison : 5505 Endeavor LnADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Yes, 25 % of the TimeMEDICAL SURVEILLANCE:NoSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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