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Data Engineer Jobs in Pleasant Prairie, WI (NOW HIRING)

Data Engineer

Libertyville, IL · On-site

$75K - $105K/yr

Data Engineer What we are looking for: Aldridge is seeking an experienced and dedicated Data Engineer to join our talented and energetic team. The Data Engineer builds, maintains, and continuously ...

Data Engineer

Libertyville, IL · On-site

$111K - $133K/yr

The Data Engineer builds, maintains, and continuously improves the pipelines and dbt projects that move data from our source systems into our cloud data platform, helping ensure clean, reliable data ...

Data Engineer III

Lake Forest, IL · On-site

$104K - $174K/yr

Position Details Grainger is seeking a Data Engineer III to join our Machine Learning Engineering (MLE) team supporting Supply Chain and Inventory Analytics. This role reports to a Senior Manager of ...

Data Engineer III

Lake Forest, IL · Hybrid

$104K - $174K/yr

Position Details Grainger is seeking a Data Engineer III to join our Machine Learning Engineering (MLE) team supporting Supply Chain and Inventory Analytics. This role reports to a Senior Manager of ...

Data Engineer III

Lake Forest, IL · Hybrid

$104K - $174K/yr

Position Details Grainger is seeking a Data Engineer III to join our Machine Learning Engineering (MLE) team supporting Supply Chain and Inventory Analytics. This role reports to a Senior Manager of ...

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Build and modernize the data solutions that power Uline's growing business. As a Senior Data ...

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Build and modernize the data solutions that power Uline's growing business. As a Senior Data ...

Senior Data Engineer

Waukegan, IL · On-site

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Build and modernize the data solutions that power Uline's growing business. As a Senior Data ...

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Build and modernize the data solutions that power Uline's growing business. As a Senior Data ...

Senior Data Engineer

Waukegan, IL · 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 ...

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Build and modernize the data solutions that power Uline's growing business. As a Senior Data ...

Senior Data Engineer

Waukegan, IL · On-site

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Build and modernize the data solutions that power Uline's growing business. As a Senior Data ...

Adobe Products Data Engineer

Mettawa, IL · On-site

$87K - $128K/yr

The ideal candidate combines strong data engineering capabilities with hands-on experience across Adobe products and a solid understanding of identity resolution, data governance, and profile ...

The ideal candidate combines strong data engineering capabilities with hands-on experience across Adobe products and a solid understanding of identity resolution, data governance, and profile ...

Senior Data Engineer

Lake Forest, IL · On-site

$112K - $188K/yr

Position Details Grainger's Central Data Platform team has evolved from a traditional data engineering function into a data engineering and AI enablement team. We build reliable, governed, real-time ...

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Showing results 1-20

Data Engineer information

See Pleasant Prairie, WI salary details

$43.1K

$125.7K

$172K

How much do data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineer in Pleasant Prairie, WI is $125,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,300.00 per year, depending on experience, location, and employer.

What is a data engineer?

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.

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Pleasant Prairie, WI?

The most popular types of Data Engineer jobs in Pleasant Prairie, WI are:

What are popular job titles related to Data Engineer jobs in Pleasant Prairie, WI?

For Data Engineer jobs in Pleasant Prairie, WI, the most frequently searched job titles are:

What cities near Pleasant Prairie, WI are hiring for Data Engineer jobs?

Cities near Pleasant Prairie, WI with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Pleasant Prairie, WI as of August 2026, with employment types broken down into 82% Full Time, 9% Temporary, and 9% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $125,717 per year, or $60.4 per hour.

Data Engineer

Libertyville, IL • On-site

Aldridge Electric, Inc.
Construction • 501 - 1,000 employees

$75K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Aldridge Electric rating

7.0

Company rating: 7.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Data Engineer
What we are looking for:
Aldridge is seeking an experienced and dedicated Data Engineer to join our talented and energetic team. The Data Engineer builds, maintains, and continuously improves the pipelines and dbt projects that move data from our source systems into our cloud data platform, helping ensure clean, reliable data is available to the teams who depend on it.
What you'll do:
• Building, maintaining, and optimizing batch and ELT pipelines that load data into Google BigQuery and Azure SQL Server
• Designing, developing, and testing dbt models - from staging and intermediate models through mart-level transformations
• Owning dbt project structure, macros, testing, and CI/CD deployment
• Writing clean, well-documented SQL transformations and Python scripts and automation to process and prepare data
• Building, maintaining, and optimizing Tableau data sources and dashboards in partnership with the analytics team
• Building and maintaining integrations from ERP, field-operations, and finance source systems
• Implementing data-quality tests, data-freshness checks, and monitoring on owned datasets
• Acting as a point of contact for pipeline failures and data-freshness alerts, and troubleshooting root causes
• Identifying bottlenecks in existing data workflows and implementing automated solutions
• Documenting data sources, pipelines, and dbt models to support team consistency
• Collaborating with analysts, operations teams, and leadership to understand data requirements and present solutions
• Applying and helping establish team standards for data quality, testing, version control, and documentation
• Writing and maintaining recurring operational and departmental reports in Tableau to defined specifications
• Supporting the department's report writers with curated Tableau data sources and report-writing guidance
• Continually building skills through training and professional development opportunities
• Performing other duties as assigned and directed
Who you are:
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field
• Experience building, supporting, or architecting data pipelines, preferably in the construction industry
• Proficiency in SQL and Python, with experience using dbt for transformation and pipeline management
• Experience building, optimizing, and mentoring others on Tableau data sources, dashboards, and reports
• Hands-on experience with Google BigQuery and/or Azure SQL Server
• Experience designing, maintaining, and optimizing ELT/ETL pipelines and data models
• Strong attention to detail and accuracy in deliverables
• Strong problem-solving skills and the ability to manage data initiatives independently
• Good communication and relationship-building skills, with the ability to present data and recommendations to stakeholders
• Strong organizational and time-management skills, with the ability to prioritize work
• Strong Tableau report-writing skills, with the ability to present data clearly and accurately
Who we are:
At Aldridge, we invite you to be a part of our dynamic team, where your skills are not only valued but crucial to our success. As we pursue our vision to be the First Choice for Energy and Transportation infrastructure projects, we welcome fresh perspectives and prioritize teamwork to drive our industry-leading safety, innovation, and execution.
Our culture is rooted in family-centeredness, with third-generation leadership guiding our unwavering spirit of innovation and entrepreneurship. With over 2,000 industry experts dedicated to our vision, we actively contribute to and uplift the communities impacted by our infrastructure projects and our Aldridge family.
Built on collaboration and a commitment to mental wellness, our core values create an unparalleled sense of unity and camaraderie within our organization. Through team-building events, open-door policies, and visible executive presence, we foster an environment where everyone can thrive, innovate, and make a meaningful difference. Join us in building the infrastructure that keeps the world moving and connected - become a part of the A-team to start building and strengthening your career today!
What we offer:
The annual base pay for this role is between $75,000 - $105,000. The actual pay is dependent upon many factors, including: location, work experience, education, training, transferable skills, business needs, and market conditions. The base pay range is subject to change and may be modified in the future. The role may also be eligible for a bonus. Aldridge provides a comprehensive benefits package that includes the following:
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Wellness Incentive Programs
  • Short and Long Term Disability
  • Flexible Spending Accounts
  • Life Insurance
  • Legal Assistance
  • Identity Protection
  • Accident & Critical Illness Insurance
  • Company 401(k) Matching Contributions
  • Paid Time Off (PTO)
  • Employee Assistance Program (EAP)

This job-specific task list covers only the most important job duties. Employees assigned to this position title will also perform other occasional work assignments not mentioned above, including temporary assignments, training assignments, and other related duties. Aldridge is an EEO Employer and will recruit, hire, train, and promote people in all job classifications without regard to race, color, national origin, age, religion, disability status, gender, sexual orientation, gender identity, genetic information, veteran status, marital status, or any other characteristic protected by law.

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