ZipRecruiter

Log In

1

Data Engineer Jobs in Plainfield, IL (NOW HIRING)

The Joint Commission

Data Engineer

Oak Brook, IL · On-site

$143K/yr

Overview The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data platforms. This role focuses on building scalable, efficient, and secure data ...

Joint Commission

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

Overview The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data platforms. This role focuses on building scalable, efficient, and secure data ...

Joint Commission

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data platforms. This role focuses on building scalable, efficient, and secure data solutions ...

Prophecy Technologies

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL (3 days office) Employment: Contract Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and ...

VeeRteq Solutions Inc.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Role: SR Data Engineer Experience: - Min 8+ Years Location: - Chicago, IL(3 days/Week) OR Remote (F2F Interview Mandatory) Data Engineer with expertise in ETL development, Python, SQL, and cloud ...

New

Premier Inn Hotels LLC (UAE)

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

W2 Contract We are seeking an experienced Data Engineer with strong hands-on expertise in PySpark, Databricks, and AWS Redshift to join our data engineering team. The ideal candidate will have a ...

Humana

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

This position is ideal for an engineer who is passionate about data, eager to learn emerging technologies, and interested in growing their skills in Snowflake, Azure, and modern data engineering ...

New

Dlapiper

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

We are seeking an experienced Data Engineer with expertise in the Microsoft Business Intelligence stack to design, build, and maintain robust data pipelines and analytical models. This role focuses ...

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

We are seeking an experienced Data Engineer with expertise in the Microsoft Business Intelligence stack to design, build, and maintain robust data pipelines and analytical models. This role focuses ...

Dlapiper

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Judge Group, Inc.

Data Engineer

Chicago, IL · On-site

$130K - $160K/yr

Key Responsibilities Data Engineering * Pipeline engineering - Build and maintain ETL workflows that scale without cracking under pressure. * Advanced SQL tuning - Write SQL that slices through ...

New

Harrison Street

Data Engineer

Chicago, IL

$125K - $200K/yr

The Data Engineer will be responsible for the collection, storage, processing, and transformation of large volumes of data to make it accessible, reliable, and usable for analysis and decision-making ...

Guidehouse

Data Engineer

Chicago, IL

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have hands ...

Harrison Street

Data Engineer

Chicago, IL

$118K - $141K/yr

The Data Engineer will be responsible for the collection, storage, processing, and transformation of large volumes of data to make it accessible, reliable, and usable for analysis and decision-making ...

Harrison Street

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer will be responsible for the collection, storage, processing, and transformation of large volumes of data to make it accessible, reliable, and usable for analysis and decision-making ...

Harrison Street

Data Engineer

Chicago, IL · On-site

$125K - $200K/yr

The Data Engineer will be responsible for the collection, storage, processing, and transformation of large volumes of data to make it accessible, reliable, and usable for analysis and decision-making ...

Prolaio

Data Engineer

Chicago, IL

$134K/yr

The Overview We are seeking a skilled and motivated Data Engineer to join our Data Engineering team. In this role, you will enhance our data platform, developing and optimizing data pipelines that ...

Prolaio

Data Engineer

Chicago, IL · On-site

$134K/yr

The Overview We are seeking a skilled and motivated Data Engineer to join our Data Engineering team. In this role, you will enhance our data platform, developing and optimizing data pipelines that ...

DevSelect

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer Location: Chicago, Ill Openings: 1 Type: Permanent hire The Client is searching for an experienced data engineer. This person will be responsible for building and managing an array of ...

next page

Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Plainfield, IL

Data Engineer information

See Plainfield, IL salary details

$43.4K

$126.4K

$173K

How much do data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data engineer in Plainfield, IL is $126,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $134,000.00 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 Plainfield, IL?

The most popular types of Data Engineer jobs in Plainfield, IL are:

What are popular job titles related to Data Engineer jobs in Plainfield, IL?

For Data Engineer jobs in Plainfield, IL, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Plainfield, IL look for?

The top searched job categories for Data Engineer jobs in Plainfield, IL are:

What cities near Plainfield, IL are hiring for Data Engineer jobs?

Cities near Plainfield, IL with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Plainfield, IL as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $126,435 per year, or $60.8 per hour.

Data Engineer

Oak Brook, IL • On-site

The Joint Commission
Health Care and Social Assistance • 1 - 5K employees
Learn more about The Joint Commissionexternal

$143K/yr

Other

Posted 10 days ago

Job description

Overview

The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data

platforms. This role focuses on building scalable, efficient, and secure data solutions using modern cloud

technologies. The engineer collaborates with analytics, BI, and business teams to transform requirements into

reliable data assets that support reporting, analytics, and operational needs.

Responsibilities Data Engineering & Pipeline Development
  • Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and
  • Microsoft Fabric.
  • Build and optimize data ingestion, transformation, and integration processes across structured and
  • unstructured data sources.
  • Develop and support data lakes, lakehouses, and data warehouse environments using MSSQL and cloud-native platforms.
  • Implement ETL/ELT best practices to ensure performance, reliability, and data quality.
  • Automate data workflows and monitor pipeline health; identify and resolve issues promptly.
Collaboration & Solution Delivery
  • Work closely with analytics, BI, and business teams to understand data requirements and translate them into technical solutions.
  • Partner with cross-functional teams to support data-driven initiatives and ensure pipelines align with reporting and operational needs.
  • Contribute to documentation of data structures, transformation logic, and system dependencies.
Technology Enablement & Best Practices
  • Contribute to evaluating and adopting new tools, frameworks, and technologies that enhance data engineering efficiency and scalability.
  • Follow standards for code quality, testing, version control, and documentation.
  • Apply data governance, quality, and reliability principles in daily engineering work.
Business Intelligence & Analytics Support
  • Build reusable data models and curated datasets to enable self-service analytics.
  • Ensure downstream BI teams receive accurate, well-structured, and timely data.
  • Transform business requirements into scalable and maintainable technical designs.
Compliance & Security
  • Ensure data engineering solutions align with privacy regulations such as GDPR and HIPAA, as well as internal security requirements.
  • Maintain proper data access controls and contribute to monitoring data quality and compliance metrics.
Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
  • 5–7 years of experience in data engineering, ETL/ELT development, or cloud data platforms.
  • Hands-on experience with Azure Data Factory, Databricks, Microsoft Fabric, and MSSQL.
  • Strong knowledge of data lake, lakehouse, and data warehouse architectures.
  • Solid understanding of ETL/ELT processes, data modeling, and metadata management.
  • Proficiency in SQL and Python; familiarity with cloud platforms and big data technologies.
  • Ability to diagnose data issues, optimize performance, and work with cross-functional technical and business teams.
Preferred Certifications
  • Microsoft Certified: Azure Data Engineer Associate
  • Databricks Certified Data Engineer
  • Certifications related to data governance, risk, or compliance
  • Master’s degree in Computer Science, Information Systems, or related fields
Equal Opportunity Field

We offer a comprehensive benefit package. For a complete overview of our benefits package, please visit our Joint Commission Career Page

We are an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Min

USD $107,000.00/year

Max

USD $143,000.00/year

#J-18808-Ljbffr

Apply