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Data Engineer Jobs in Brookfield, IL (NOW HIRING)

Magid Glove & Safety

Data Engineer

Romeoville, IL

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high-visibility role where your efforts will have impact on all levels of the organization. Our work ...

New

Co-Sourcing Partners

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

GCP Data Engineer Duration: 6 months Contract to hire Location: Chicago is the preferred location, but open to candidates from anywhere in the U.S. Role Overview We are seeking a highly skilled GCP ...

Alpha Consulting Corp.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Alpha Consulting Corp. is seeking a highly skilled MLOps Engineer / Python Developer with expertise in building and maintaining scalable data and machine learning pipelines. The role involves ...

Next Step Systems

Data Engineer, Trading

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Trading, Chicago, IL A proprietary trading firm is seeking a Data Engineer with Trading experience to join its Data Infrastructure team, to help improve and extend the data platform.

Rush University Medical Center

Data Engineer

Chicago, IL

$46.07 - $68.64/hr

The Data Engineer is responsible for designing and implementing data pipelines for cloud projects. This position will require working with complex data sources and transforming it into something ...

Contact Government Services, LLC

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Covista

Data Engineer

Lisle, IL · Hybrid

Troubleshoot and resolve data engineering issues as they arise. ***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

NAVA Software Solutions

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Details: Sr. Data Engineer Location: Chicago, IL (Hybrid at least 2 days a week) Duration: 6-12 months Key Responsibilities and Essential Functions: * Design, build, and support durable data ...

Hinshaw & Culbertson

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Lead Data Engineer Firm Overview Hinshaw & Culbertson LLP is a national law firm with more than 500 attorneys and professionals across the United States. Founded in 1934 and headquartered in Chicago ...

Covista

Data Engineer

Lisle, IL · On-site

$74K - $133K/yr

Troubleshoot and resolve data engineering issues as they arise. ***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Bespoke Labs

Data Engineer

Hammond, IN · On-site

$109K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Bespoke Labs

Data Engineer

Aurora, IL · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Covista

Data Engineer

Lisle, IL · Hybrid

$74K - $133K/yr

Troubleshoot and resolve data engineering issues as they arise. ***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for ...

Bespoke Labs

Data Engineer

Aurora, IL · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Hammond, IN · On-site

$109K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Brookfield, IL

Data Engineer information

See Brookfield, IL salary details

$44.6K

$130.1K

$178K

How much do data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer in Brookfield, IL is $130,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $137,900.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What cities near Brookfield, IL are hiring for Data Engineer jobs? Cities near Brookfield, IL with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Brookfield, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $130,102 per year, or $62.5 per hour.

Data Engineer

Magid Glove & Safety

Romeoville, IL

$116K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

What Matters atMagid?YOU do!

"Thenumber onekey to growth is having good people and that's what has driven us at every stage of the game."- Greg Cohen, CEO

At Magid, we're not just passionate about safety-we're passionate about people. As an industry leader, we've built an innovative and collaborative environment where diversity is celebrated, ideas are valued, and personal and professional growth never stops.

Job Summary

The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high-visibility role where your efforts will have impact on all levels of the organization. Our work spans product sourcing, customer journeys, service delivery, sales workflows, and the platforms and SME's that support them. We have seen a drastic increase in adoption of the Data Engineer's services. We are embedding data culture into our DNA and are excited to add a new face to that mission.

Essential Responsibilities

  • Data pipelines and transformations (ingest, clean, vet, test, transform, publish)
  • Well-documented datasets and advanced semantic models that enable reporting and analysis
  • Data quality checks (freshness, completeness, validity) and participation in monitoring/alerting
  • Datasets that support machine learning use cases with clear definitions
  • Incremental improvements to pipeline performance, cost, and reliability with guidance
  • Collaboration with partners to clarify requirements and iterate on data products
  • Partner in Data Discovery & Solution Shaping
  • Develop Power BI Solutions that are iterative while supporting our current ecosystem of analytics driven reporting
  • Learn source systems and data flows; help map entities, identifiers, and key business rules
  • Contribute to data modeling and design decisions with guidance (schemas, grain, slowly changing dimensions, etc.)
  • Propose simpler, more reliable approaches (e.g., reuse shared datasets, standardize definitions) to improve trust and increase adoption

Build & Maintain Data Pipelines

  • Build and maintain batch and/or streaming pipelines to ingest data from source systems into our analytical platform
  • Develop transformations to clean, standardize, and enrich data using agreed-upon patterns and tools (e.g., SQL, Python, Fabric Data Lake, KQL)
  • Support ML workflows by helping produce curated training datasets and feature-ready tables, following established patterns
  • Help monitor pipeline health and data quality; investigate variances and propose code enhancements to key datasets.


Contribute to a Strong Data Culture

  • Help evolve data standards (naming conventions, modeling patterns, documentation) to improve consistency and reuse
  • Promote a culture of data trust through quality checks, clear definitions, and thoughtful change management
  • Willingness to tackle obscure requests and find ways to solve cumbersome outdated workflows


How We Work

  • Empowered to solve problems, not just build features
  • Accountable for outcomes, not output
  • Collaborative by default, from discovery through delivery
  • Continuously learning, using data, AI/ML and customer insight to improve

Magid offers a variety of benefits to our team members including:

  • Health, dental, vision, life and disability insurance
  • Bonus plan
  • 401k retirement plan with company match
  • Company provided Profit Sharing
  • Participation in Magid Paid Time Off (PTO) Policy
  • 9 Paid Holidays

Apply