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

Spruce Infotech

Data Analyst

Lake Forest, IL · On-site

The ideal candidate will work closely with business stakeholders, data engineers, and application teams to analyze source and target data structures, define mapping requirements, and ensure accurate ...

AbbVie

Associate Scientist, Data I

North Chicago, IL · On-site

$56K - $57K/yr

This role works at the intersection of data science, data engineering, and manufacturing technology to help deliver scalable data products, AI solutions, and operational insights that drive ...

AbbVie

Associate Scientist, Data I

North Chicago, IL · On-site

$56K - $57K/yr

This role works at the intersection of data science, data engineering, and manufacturing technology to help deliver scalable data products, AI solutions, and operational insights that drive ...

AbbVie

Associate Scientist, Data I

North Chicago, IL · On-site

$58K/yr

This role works at the intersection of data science, data engineering, and manufacturing technology to help deliver scalable data products, AI solutions, and operational insights that drive ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Pleasant Prairie, WI

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 9, 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.
More about Data Engineer jobs

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:

Data Engineer jobs near you
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.

Senior Engineer, Technology II (Data Engineering & Architecture)

North Chicago, IL • On-site

AbbVie
Scientific Research and Development Services • 10K+ employees
Learn more about AbbVieexternal

$109K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical

Job description

Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology, and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
The Sr. Data Engineer & Solution Architect serves as the principal designer for Operations Data organization, with a focus on cloud-native data lakehouse architecture, advanced data engineering, and Supply Chain data domains. This role is responsible for conceiving, designing, and implementing scalable, high-performance data solutions leveraging modern AWS Database & Analytics services, Apache Iceberg open table format, AWS Redshift, and Medallion Architecture principles. The Sr. Data Engineer & Solution Architect will drive Data Product-centric thinking and data mesh principles for the organization, partnering closely with Supply Chain functional and business stakeholders to deliver trusted, governed, and actionable data and dashboards across from Supply Chain domains. This role requires a deep combination of hands-on technical expertise, solution architecture, and the ability to communicate complex data strategies to both technical teams and cross functional stakeholders.
Responsibilities:
  • Design, develop, implement and oversee legacy ETL and cloud-native data ingestion frameworks and end-to-end data pipelines leveraging AWS services including AWS Glue, Amazon S3, AWS EMR, AWS Lambda, and other ingestion / ETL technologies like Informatica; assess information needs and data flows to engineer scalable, reliable, and cost-effective solutions.
  • Solution architect data need for the Operations Supply Chain analytical use cases using Apache Iceberg open table format, implementing Medallion Architecture to ensuring data quality, lineage, and accessibility.
  • Build, optimize, and maintain AWS Redshift data warehouse solutions for Supply Chain analytical use cases, including the design of data products leveraging AWS Redshift aligned to enterprise analytics consumption patterns.
  • Define, promote, and implement Data Product-centric architecture and data mesh principles from business domains; establish standards for data product design, ownership, discoverability, and interoperability to enable all analytical Dashboards and AI use cases.
  • Partner with Supply Chain BTS (IT) functional and business stakeholders to understand and model critical data flows across from SAP and planning systems processes; translate complex ERP data structures into governed, analytics-ready data products within the lakehouse platform.
  • Lead consultant technical data engineering team responsible for building the solutions; supervise team members as needed, remain accountable for team delivery and performance, and cultivate a culture of engineering excellence and continuous improvement.

Qualifications
Required:
  • Bachelor's Degree in Computer Science, Information Systems, Data Engineering, or a related field with 7+ years of experience in data architecture and data engineering; Master's Degree with 6 years' experience; or PhD with 2 years of experience.
  • Deep, hands-on expertise with modern AWS Database & Analytics services including AWS Glue, Amazon S3, AWS EMR and related ingestion and transformation technologies like Informatica.
  • Demonstrated hands-on experience with Apache Iceberg open table format or similar technologies for lakehouse architecture.
  • Proficiency with AWS Redshift for enterprise data warehousing or similar Modern data warehousing platforms.
  • Proven experience designing and implementing Medallion Architecture (Bronze/Silver/Gold layers) and Data Product frameworks; familiarity with data mesh principles including domain ownership, data product thinking.
  • Familiarity with Supply Chain ERP systems, specifically SAP, and working knowledge of core Supply Chain data flows and data domains.
  • Familiarity with Blue Yonder (formerly JDA) planning domain covering demand planning, supply planning etc. including understanding of the underlying data models and integration patterns with enterprise data platforms.
  • Strong programming and query skills in ETL, SQL, Python, and Apache Spark/PySpark for large-scale data transformation, processing, and pipeline development.
  • Solid knowledge of data governance frameworks, data cataloging using Alation or AWS Glue Data Catalog, metadata management, data lineage, and data quality practices; experience implementing enterprise-wide data governance policies and controls.
  • Demonstrated ability to analyze complex business requirements, evaluate technical options, and deliver efficient, scalable, and cost-effective data solutions; proven experience operating with a high degree of autonomy in enterprise or regulated IT environments, balancing technical depth, architecture leadership, and senior stakeholder engagement.

Preferred:
  • Knowledge of reporting tools such as PowerBI etc. is a plus for the role.

Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013

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