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

Optime Tech

Data Engineer (Databricks on AWS)

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer (Databricks on AWS) Location: Chicago, IL (Local Candidates Only) Work Arrangement: Mostly Remote ( Must be available for an onsite interview and occasional meetings in Downtown Chicago ...

New

Databricks

Manager, Field Engineering - MFG

Chicago, IL · On-site

$172K - $237K/yr

S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI's potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture ...

Comprehensive Resources Inc.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Must be strong on Complex sql queries and Databricks Seeking a Senior Data Engineer with deep expertise in SQL Server, Azure SQL, and Databricks to design, optimize, and deliver scalable cloud-based ...

Finoit Inc.

Senior Data Quality Engineer

Chicago, IL · On-site

$109K - $148K/yr

We are seeking a Senior Data Quality Engineer with strong experience in Python, SQL, and automated ... in a Databricks environment. Key Responsibilities: • Build and maintain automated testing ...

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 ...

Scadea

Azure Data Engineer

Chicago, IL

$118K - $141K/yr

ADF Databricks Python SQL Retail experience would be helpful, but not required Job Title: Azure Data Engineer Job Summary: We are seeking a highly skilled Azure Data Engineer to design, build, and ...

Pwc

Data Engineer - Senior Manager

Chicago, IL

$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 Associate

Chicago, IL

$77K - $202K/yr

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

Pwc

Data Engineer - Manager

Chicago, IL

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

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

Databricks Data Engineer information

See Aurora, IL salary details

$44.1K

$128.6K

$176K

How much do databricks data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for databricks data engineer in Aurora, IL is $128,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

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 typical day look like for a Databricks Data Engineer?

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 in the Databricks Data Engineer position, and why are they important?

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.

What are the most commonly searched types of Databricks Data Engineer jobs in Aurora, IL? The most popular types of Databricks Data Engineer jobs in Aurora, IL are:
What are popular job titles related to Databricks Data Engineer jobs in Aurora, IL? For Databricks Data Engineer jobs in Aurora, IL, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Aurora, IL look for? The top searched job categories for Databricks Data Engineer jobs in Aurora, IL are:
What cities near Aurora, IL are hiring for Databricks Data Engineer jobs? Cities near Aurora, IL with the most Databricks Data Engineer job openings:
Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Aurora, IL as of July 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $128,605 per year, or $61.8 per hour.

Data Engineer (Databricks on AWS)

Optime Tech

Chicago, IL • On-site

$118K - $141K/yr

Other

Posted 3 days ago

New

Job description

Data Engineer (Databricks on AWS)

Location: Chicago, IL (Local Candidates Only)

Work Arrangement: Mostly Remote (Must be available for an onsite interview and occasional meetings in Downtown Chicago)

Duration: 6-Month Contract-to-Hire

Employment Type: W2 Opportunity Only (No C2C / No 1099)

Work Authorization: Applicants must be legally authorized to work in the United States. Visa sponsorship is not available for this position.

Job Summary

We are seeking an experienced Data Engineer with strong expertise in Databricks on AWS to design, build, and optimize enterprise-scale data engineering solutions. The ideal candidate will have extensive experience developing scalable data pipelines, implementing modern cloud-based data architectures, and working with large-scale distributed data processing technologies.

Candidates must already be local to the Chicago, IL area, as the role requires availability for an onsite interview and occasional meetings in Downtown Chicago.

Required Qualifications
  • 10+ years of IT experience with a strong Data Engineering background.
  • 4–6+ years of recent hands-on experience designing, building, and scaling enterprise data pipelines.
  • Strong hands-on experience with Databricks, including:
    • Apache Spark
    • Delta Lake
    • Unity Catalog
  • Strong experience with AWS services, including:
    • Amazon S3
    • IAM
    • AWS Networking
  • Strong proficiency in:
    • SQL
    • Python
    • Data Modeling
    • Distributed Processing
  • Experience building modern cloud-based Data Engineering solutions.
  • Strong experience developing ETL pipelines and enterprise data integration solutions.
  • Experience working in Agile development environments.
  • Excellent communication and stakeholder management skills.
Preferred Qualifications
  • Delta Live Tables (DLT)
  • Databricks SQL
  • Workflow Orchestration
  • Apache Airflow
  • CI/CD
  • DevOps
  • Terraform
  • Lakehouse Architecture
  • Medallion Architecture (Bronze, Silver, Gold)
Additional Information
  • Local candidates to the Chicago, IL area only.
  • Must be available for an onsite interview in Downtown Chicago.
  • This is a W2 Contract-to-Hire opportunity

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