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Data Engineer Data Jobs in Wisconsin (NOW HIRING)

ULINE

Senior Data Engineer

Kenosha, WI · On-site

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a ...

ULINE

Senior Data Engineer

Kenosha, WI · On-site

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a ...

ULINE

Senior Data Engineer

Pleasant Prairie, WI · On-site

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a ...

ULINE

Senior Data Engineer

Pleasant Prairie, WI · On-site

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a ...

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial ...

Robert Half

Senior Data Engineer

Madison, WI · On-site

$155K - $175K/yr

We are seeking a Senior Data Engineer to design, build, and optimize modern cloud-based data platforms. This role is responsible for developing scalable data pipelines, supporting enterprise ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial ...

Deloitte

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Moxe

Senior Data Engineer

Madison, WI · On-site

$120 - $160K/hr

The Senior Data Engineer is responsible for software development and data engineering projects. Identifies and executes tasks in the software development life cycle, reviews and debugs codes. They ...

Blain's Farm & Fleet

IT Data Engineer

Janesville, WI · On-site

$72K - $90K/yr

Job Duties As a Data Engineer, you will play a key role in designing, implementing, and maintaining our data integrations, storage and access solutions. You will work closely with cross-functional ...

Bakertilly

Associate Data Engineer

Madison, WI

$85K - $162K/yr

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data solutions for our midmarket and enterprise clients. Working primarily inside the Microsoft stack ...

Bakertilly

Associate Data Engineer

Milwaukee, WI

$85K - $162K/yr

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data solutions for our midmarket and enterprise clients. Working primarily inside the Microsoft stack ...

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All JobsData Engineer Data JobsData Engineer Data Jobs in Wisconsin

Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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 solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Wisconsin? For Data Engineer Data jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Wisconsin look for? The top searched job categories for Data Engineer Data jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Engineer Data jobs? Cities in Wisconsin with the most Data Engineer Data job openings:
Data Engineer Data jobs near you
Senior Data Engineer

Senior Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

$107K - $146K/yr

Full-time

Re-posted 5 days ago

Job description

Role Overview

The Senior Data Engineer designs, builds, and maintains scalable data pipelines and data platforms that support analytics, reporting, and data-driven products. This role plays a key part in technical decision-making, reliability, and mentoring while partnering closely with analytics, product, and engineering teams.

Key Responsibilities

  • Design, build, and optimize scalable ETL/ELT data pipelines

  • Develop and maintain data models in data warehouses and lakes

  • Ensure data reliability, quality, and performance across systems

  • Collaborate with analysts and stakeholders to deliver analytics-ready data

  • Lead technical design reviews and contribute to architectural decisions

  • Monitor and troubleshoot pipeline failures and performance issues

  • Implement best practices for testing, version control, and documentation

  • Mentor junior data engineers and review code

  • Contribute to data platform roadmap and continuous improvement

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

  • 5+ years of experience in data engineering or related roles

  • Advanced SQL and strong proficiency in Python (or similar language)

  • Experience with data warehousing and data modeling techniques

  • Proven experience building production-grade data pipelines

  • Strong understanding of cloud-based data architectures

Preferred Experience

  • Cloud platforms (AWS, Azure, or GCP)

  • Orchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.)

  • Experience with streaming or near-real-time data systems

  • Familiarity with data governance, observability, and security best practices