ZipRecruiter

Log In

1

Data Engineer Jobs in Palatine, IL (NOW HIRING)

Joint Commission

Data Engineer

Villa Park, IL

$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 ...

Posted today

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 ...

K1X

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product ...

Roadrunner

Data Engineer

Downers Grove, IL

$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 · 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 ...

Guidehouse

Data Engineer

Chicago, IL · On-site

$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 ...

K1X

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

About The Role We are seeking a Data Engineer to design, build, andmaintainthe data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product ...

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 ...

IMC

Data Engineer

Chicago, IL

$118K - $141K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

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 ...

New

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 ...

Collegis LLC

Data Engineer

Oak Brook, IL · On-site

$80K - $110K/yr

Document data engineering activities and processes. * Lead technical partner engagements. * Adhere to and enforce the appropriate information security policies based on the sensitivity of company ...

Ascot Group

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation ...

Collegis Education

Data Engineer

Oak Brook, IL

$115K - $138K/yr

Document data engineering activities and processes. * Lead technical partner engagements. * Adhere to and enforce the appropriate information security policies based on the sensitivity of company ...

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

Aldridge Electric, Inc.

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 ...

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 ...

next page

Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Palatine, IL

Data Engineer information

See Palatine, IL salary details

$44.7K

$130.4K

$178.4K

How much do data engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data engineer in Palatine, IL is $130,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $138,200.00 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 Palatine, IL?

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

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

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Palatine, IL as of August 2026, with employment types broken down into 84% Full Time, 8% Temporary, and 8% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $130,375 per year, or $62.7 per hour.

Data Engineer

Villa Park, IL

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

$107K - $143K/yr

Full-time

Posted 23 hours ago

Posted today

Job description

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.


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.


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


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.


USD $107,000.00/year
USD $143,000.00/year

Apply