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Senior Data Engineering Jobs in Wisconsin (NOW HIRING)

Roehl Transport

Senior Data Engineer

Marshfield, WI · On-site

$106K - $144K/yr

This hands-on senior individual contributor role focuses on SQL development, stored procedure design, data modeling, cloud data engineering, and data integration. You will partner closely with teams ...

DTN (Data Transmission Network)

$120K - $145K/yr

Senior Data Engineer We are looking for a highly skilled Senior Data Engineer to lead the evolution of our modern data and analytics architecture. This role ensures the quality, integrity ...

Quest Oracle Community

Data Engineer

Madison, WI · On-site

$64K - $173K/yr

The Senior Data Engineer is expected to have extensive knowledge of modern programming languages, designing and developing data solutions. The position is open in a data engineering team that is ...

New

Milwaukee-Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$106K - $144K/yr

As a Senior Data Engineer, you will deliver innovative data products that enable Milwaukee Tool to ... Champion engineering excellence through SDLC best practices, continuous delivery, and data ...

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$106K - $144K/yr

As a Senior Data Engineer , you will deliver innovative data products that enable Milwaukee Tool to ... Champion engineering excellence through SDLC best practices, continuous delivery, and data ...

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$106K - $144K/yr

As a Senior Data Engineer , you will deliver innovative data products that enable Milwaukee Tool to ... Champion engineering excellence through SDLC best practices, continuous delivery, and data ...

Kforce Technology Staffing

Lead Data Engineer

Madison, WI · On-site

$103K - $136K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field * 8-10+ years of Data Engineering experience * 3+ years in a Lead, Principal, or Senior Data Engineering ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence ... Working in our Data Engineering teams, you will collect and analyze data to develop robust ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence ... Working in our Data Engineering teams, you will collect and analyze data to develop robust ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence ... Working in our Data Engineering teams, you will collect and analyze data to develop robust ...

TiTANS Consulting

WI · On-site

$102K - $139K/yr

De functie van Senior Data Engineer omvat de volgende verantwoordelijkheden en vereisten: * Aantoonbare ervaring met datawarehouse modellering en projectgericht werken of een relevante opleiding.

New

Generac

Senior Data Architect

Waukesha, WI · On-site

$67.25 - $90/hr

As a Senior Data Architect on Generac's Industrial Cloud team , you will play a critical role in ... This role sits at the intersection of architecture, data engineering, and platform strategy-owning ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling ... Implement and test end-to-end data solutions under the guidance of senior engineers * Follow ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling ... Implement and test end-to-end data solutions under the guidance of senior engineers * Follow ...

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling ... Implement and test end-to-end data solutions under the guidance of senior engineers * Follow ...

US Venture, Inc.

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

POSITION SUMMARY The Senior Data Engineer is the technical leader for IGEN's Data Foundation ... Drives engineering best practices across the data function - including CI/CD for data, version ...

American Transmission Company

Sr. Data Engineer

Pewaukee, WI · On-site +1

$112K - $134K/yr

What You'll Bring Required Qualifications Bachelor's degree in Computer Science, Information Technology, Management Information Systems, Data Science, Software Engineering, or a related discipline.

American Transmission Co.

Sr. Data Engineer

Pewaukee, WI · On-site

$112K - $134K/yr

Bachelor's degree in Computer Science, Information Technology, Management Information Systems, Data Science, Software Engineering, or a related discipline. * Five or more years of experience ...

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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:

Senior Data Engineering jobs near you
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.

Senior Data Engineer

Marshfield, WI • On-site

Roehl Transport
Trucking • 1 - 5K employees
Learn more about Roehl Transportexternal

$106K - $144K/yr

Full-time

Re-posted 13 days ago

Roehl Transport rating

7.7

Company rating: 7.7 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

Job description

The Opportunity
Roehl Transport is seeking a Senior Data Engineer to help design and deliver modern data solutions that support decision-making across the enterprise. As part of a small, highly trusted data and analytics team, you will build reliable data assets, modernize data platforms, and enable business teams with timely, meaningful information.
This hands-on senior individual contributor role focuses on SQL development, stored procedure design, data modeling, cloud data engineering, and data integration. You will partner closely with teams across Business Intelligence, Data Management, Application Development, Infrastructure, and the business to transform data into trusted information assets that improve business performance, driver success, operational efficiency, and decision-making.
Roehl is a data-rich environment, with operational, customer, driver, logistics, and communications systems generating valuable data every day. The right candidate will bring strong technical judgment, ownership, curiosity, and a desire to help advance Roehl's modern data strategy through SQL Stored Procedures, Microsoft Fabric, Python-enabled engineering, Power BI, and practical AI-assisted ways of working.
What You'll Do
You will help design, build, and mature Roehl's enterprise data ecosystem through scalable, reliable data solutions that support analytics, reporting, and emerging AI use cases. Key responsibilities include:
  • Design, develop, optimize, and support SQL-based data solutions, with a strong emphasis on T-SQL, stored procedures, views, functions, and performance-aware query design.
  • Create and maintain relational and dimensional data models, including ERDs and well-structured operational models.
  • Build and support data pipelines, integrations, and transformation processes across operational systems, reporting platforms, and cloud data environments.
  • Partner with BI Developers, Data Analysts, Data Owners, Application Developers, and business stakeholders to understand requirements and deliver practical, high-value data solutions.
  • Support Roehl's Microsoft Fabric strategy and develop data assets that power Power BI, enterprise reporting, advanced analytics, and future AI-driven use cases.
  • Use Python and AI-enabled tools where appropriate to improve automation, integration, analysis, and engineering productivity.
  • Apply secure data handling, governance, metadata, and development best practices.
  • Provide senior-level technical leadership through design input, code quality, standards, mentoring, and collaboration.

How We Work
At Roehl, our values are Safety, Driver Driven, Do the Right Thing, Innovation, Delivering Success, and Unity in Diversity. We act with purpose, build on strong foundations, value good partnerships, and take pride in doing things the right way.
We value technical depth, ownership, accountability, collaboration, and a commitment to solving meaningful business problems through better data.
The Experience
This is a senior-level opportunity. The ideal candidate will have:
  • Expert-level SQL skills, including advanced T-SQL development.
  • Strong experience designing and optimizing stored procedures, complex queries, views, functions, and SQL-based transformation logic.
  • Strong understanding of relational modeling, ERDs, normalization principles, third normal form design, dimensional modeling, metadata practices, and data governance concepts.
  • Multiple years of experience building and maintaining data warehousing, data integration, or analytical data solutions.
  • Experience developing within a modern Microsoft-centric data stack, including SQL Server, Python, cloud technologies, and modern data platforms.
  • Experience with Docker, Kubernetes or other containerized deployment frameworks
  • Experience with Apache Airflow
  • Experience with Microsoft Fabric, Azure SQL, OneLake, Lakehouse concepts, or similar cloud data technologies.
  • Experience supporting Power BI or other modern analytics and visualization platforms.
  • Understanding of secure data handling, Agile development, source control, deployment practices, and tools such as Azure DevOps or GitHub.
  • Strong communication skills and the ability to partner effectively with both technical and business teams.

Preferred and Plus Skills
The following experience is preferred or considered a plus:
  • Microsoft Fabric experience or strong interest in developing Fabric expertise.
  • Experience with Azure data pipelines, cloud data lake implementations, Lakehouse architecture, or modern ELT patterns.
  • Experience using AI-assisted development, AI-enabled analytics, or practical AI tools to improve engineering productivity.
  • Experience with C#, Power BI semantic models, dataflows, data quality, lineage, cataloging, governance, Visio, ERDs, and architecture diagrams.
  • Experience in transportation, logistics, operations, or similarly data-rich environments.

The Fit
You may be a strong fit if you enjoy solving complex data problems, building reliable and maintainable solutions, collaborating across technical and business teams, and taking ownership from design through delivery. You are curious about modern data platforms, cloud technologies, and practical ways AI can improve how teams work.
The Company
Roehl Transport, founded in 1962, is one of the nation's largest, most progressive, and safest transportation and logistics companies. With over 2,800 employees and offices across the U.S., we serve 8,800+ customers, including some of the most recognized brands. We offer a rewarding, challenging work environment, a collaborative team culture, and the opportunity to make a meaningful impact.

What Roehl Transport employees say

Pay

Benefits

Hours and flexibility

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About Roehl Transport

Sourced by ZipRecruiter

Roehl Transport was founded by Everett Roehl in 1962 when he began providing motor carrier service with a single truck. Sixty years later, Roehl Transport, still family-owned, has grown to one of the nation's largest, most progressive, and safest transportation and logistics companies. At Roehl Transport, our values guide our daily interactions with each other and our customers. Each day we live our values of Safety, Driver Driven, Innovation, Unity in Diversity, Delivering Success, and Do the Right Thing. We work hard and have fun collaborating as we accomplish our goals.

Industry

Trucking

Company size

1,001 - 5,000 Employees

Headquarters location

Marshfield, WI, US

Year founded

1962

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