1

Director Databricks Data Engineer Jobs in Chicago, IL

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 ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

You'll partner with your manager and Machine Learning Engineers to architect, design and build our Databricks data platform and our Databricks MCP connector. iM Responsible For... * Using PySpark to ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

You'll partner with your manager and Machine Learning Engineers to architect, design and build our Databricks data platform and our Databricks MCP connector. iM Responsible For... * Using PySpark to ...

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 ...

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 ...

Direct the team through complexity, demonstrating composure through ambiguous, challenging and ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Direct the team through complexity, demonstrating composure through ambiguous, challenging and ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

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 ...

Azure Data Engineer

Chicago, IL · On-site

$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 ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

next page

Showing results 1-20

Director Databricks Data Engineer information

See Chicago, IL salary details

$75.2K

$200.6K

$261.7K

How much do director databricks data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for director databricks data engineer in Chicago, IL is $200,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,800.00 and $260,600.00 per year, depending on experience, location, and employer.
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 cities near Chicago, IL are hiring for Director Databricks Data Engineer jobs? Cities near Chicago, IL with the most Director Databricks Data Engineer job openings:

Senior Data Engineer (Azure Databricks)

Finoit Inc.

Chicago, IL • On-site

$148K - $164K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Senior Data Engineer (Azure Databricks)

Location: Chicago, IL (Hybrid – 3 days onsite, 2 days remote)
Job Type: Full-Time / Direct Hire
Salary: $148,000 - $164,000 (DOE)

We are seeking a highly skilled Senior Data Engineer to join a growing data engineering team. The ideal candidate will have strong experience designing, building, and maintaining scalable end-to-end data pipelines in modern cloud environments, with expertise in Azure Databricks.

Responsibilities
  • Design, develop, and maintain scalable end-to-end data pipelines.
  • Build data ingestion, validation, transformation, and governance frameworks.
  • Develop reusable, metadata-driven data pipeline solutions.
  • Optimize data processing performance and troubleshoot complex data issues.
  • Design and implement scalable data architecture to support business needs.
  • Collaborate with cross-functional teams to deliver reliable data solutions.
  • Implement data quality, monitoring, and testing best practices.
  • Work with cloud-native data platforms and services to support enterprise analytics.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of hands-on experience building and owning end-to-end data pipelines.
  • Expert-level proficiency in Python and SQL.
  • Strong experience with data ingestion, transformation, validation, and governance.
  • Ability to design scalable data architectures and clearly communicate technical solutions.
  • Experience building reusable, metadata-driven pipelines.
  • Strong troubleshooting, debugging, and performance optimization skills.
  • Hands-on experience with data modeling, testing, monitoring, and data quality practices.
Preferred Qualifications
  • Strong experience with Azure Databricks (required/preferred platform).
  • Experience with Azure Data Factory and other Azure cloud data services.
  • Familiarity with enterprise data engineering best practices and cloud-native architectures.
Work Arrangement
  • Hybrid schedule: 3 days onsite per week in Chicago, IL.
  • Local candidates are strongly preferred.