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Databricks Data Engineer Jobs in Chicago, IL (NOW HIRING)

Joint Commission

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

Responsibilities Data Engineering & Pipeline Development • Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and Microsoft Fabric. • Build and ...

Joint Commission

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

Data Engineering & Pipeline Development · Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and Microsoft Fabric. · Build and optimize data ...

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 ...

Pwc

Data Engineer - Senior Manager

Rosemont, IL · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Pwc

Data Engineer - Senior Manager

Chicago, IL · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Humana

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Working knowledge of Azure cloud services , such as Databricks, Storage Accounts, and Azure DevOps. Proficiency in SQL and experience with Python or another programming language used for data ...

Posted today

Reply

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Reply

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI * DevOps for data ...

Reply

Data Engineer

Chicago, IL · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

IBM

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

SnowProcore, Databricks Data Engineer Associate, Google Associate Cloud Engineer or Data Engineer coursework * General skills: GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation of ...

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 ... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ...

1 point system

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

Strong hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog) and AWS (S3, IAM ... Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.). Strong ...

Ulta Beauty

Sr Data Engineer (Remote)

Bolingbrook, IL · On-site +1

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...

Ulta Beauty, Inc.

Sr Data Engineer (Remote)

Bolingbrook, IL · Remote

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...

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Showing results 21-40

All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Chicago, IL

Databricks Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do databricks data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for databricks data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

What are the most commonly searched types of Databricks Data Engineer jobs in Chicago, IL?

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

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

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

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

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

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

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

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Chicago, IL as of September 2026, with employment types broken down into 2% Internship, 71% Full Time, and 27% Contract. Highlights an 78% In-person, 6% Hybrid, and 16% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Data Engineer

Villa Park, IL • On-site

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

$107K - $143K/yr

Other

Posted 17 days ago

Key responsibilities

  • Design, develop, and maintain scalable data pipelines and data platforms using cloud technologies.

  • Collaborate with analytics, BI, and business teams to understand data requirements and translate them into technical solutions.

  • Build reusable data models and ensure data solutions align with security and compliance standards.

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

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