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Data Engineer Jobs in Brookfield, IL (NOW HIRING)

Magid Glove & Safety

Data Engineer

Romeoville, IL · On-site

$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

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...

The Hartford

Data Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value. Responsibilities : • Design and ...

HUB

Data Engineer

Chicago, IL

$105K - $126K/yr

Position Summary We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA Infrastructure team. In this role, you will build data pipelines and infrastructure that enable ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations for analytics and AI, transforming raw data into analysis-ready assets while working with modern cloud platforms. Responsibilities : • ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer role involves designing and building data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value. Responsibilities : • ...

HUB International Limited

Data Engineer

Chicago, IL · On-site

$105K - $126K/yr

Position Summary We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA Infrastructure team. In this role, you will build data pipelines and infrastructure that enable ...

Excel Sports Management

Data Engineer

Chicago, IL

$100K - $115K/yr

The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines and platforms that power our reporting, modeling, and client deliverables. This ...

1 point system

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

10+ years of IT experience, including deep expertise in data engineering & ETL. 4-6+ years of recent hands-on experience in designing, building, and scaling data pipelines. Strong hands-on experience ...

Apex Informatics

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Looking for 2 to 4 years of professional experience as a Data engineer Chicago, IL. Skills required: SAAS, SQL, Snowflake and Airflow. * Strong SQL Skills: Proficiency in writing complex queries ...

Inspire11

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a ...

American Academy of Sleep Medicine

Data Engineer

Darien, IL · On-site

$100K - $110K/yr

Data Engineer (Mid-level) | Information Technology Location: Darien, IL (Hybrid - Local Candidates Only) Salary Range: $100,000 - $110,000 base salary + annual incentive bonus Travel: Minimal (up to ...

American Academy of Sleep Medicine

Data Engineer

Darien, IL · On-site

$100K - $110K/yr

Data Engineer (Mid-level) | Information Technology Location: Darien, IL (Hybrid - Local Candidates Only) Salary Range: $100,000 - $110,000 base salary + annual incentive bonus Travel: Minimal (up to ...

Horizontal Talent

Data Engineer

Chicago, IL · Hybrid

$32 - $65/hr

Join a high-impact data engineering team supporting a payments migration initiative for an enterprise healthcare environment. This hybrid role offers the opportunity to design and deliver modern data ...

New

Excel Sports Management

Data Engineer

Chicago, IL

$100K - $115K/yr

The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines and platforms that power our reporting, modeling, and client deliverables. This ...

Excel Sports Management

Data Engineer

Chicago, IL · On-site

$100K - $115K/yr

The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines and platforms that power our reporting, modeling, and client deliverables. This ...

The Hartford

GCP Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

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Showing results 21-40

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 • On-site

$116K - $140K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

Description
What Matters at Magid? YOU do!
"The number one key 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

Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Equivalent practical experience is equally valued
  • Strong SQL fundamentals (joins, aggregation, window functions, performance basics)
  • Data modeling mindset: Cares about clear definitions, grain, and making data usable
  • Pragmatic problem solving: Debugs issues, makes sensible tradeoffs, and knows when to ask for help
  • Ownership: Takes responsibility for assigned datasets/pipelines and follows through to production
  • Collaboration: Works effectively with product managers to deliver trusted data

Key Qualifications
  • Minimum of 5+ years of experience in data engineering, analytics engineering, or software engineering (including internships or equivalent projects)
  • Ability to write production-quality SQL and create reliable transformations with attention to correctness
  • Understanding of dimensional modeling and/or event modeling concepts (fact/dimension tables, star schemas)
  • Proficiency in Python (or similar) and comfort using Git and code reviews to collaborate
  • Familiarity with data platforms (data warehouse/lakehouse concepts), and exposure to orchestration/ETL tools (e.g., Airflow, dbt, Spark) is a plus

Preferred Qualifications
  • Experience working with a modern data warehouse/lakehouse (e.g., Microsoft Fabric One Lake, Snowflake, BigQuery, Databricks)
  • Exposure to data quality testing, monitoring, or observability concepts
  • Familiarity with data governance concepts (Row-Level-Security, Workspace Roles, etc)
  • Exposure to machine learning workflows (training data preparation, feature tables, model experimentation support)
  • Familiarity with modern engineering practices (CI/CD, testing, observability)

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