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Manager Databricks Data Engineer Jobs in Chicago, IL

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Data Engineer

Chicago, IL · On-site

$117.56K - $149.03K/yr

A technical Data Engineer who is responsible for designing, building, and implementing data ... SQL, Databricks notebooks/jobs and similar languages. * Implement schema management, data ...

Data Engineer

Chicago, IL

$120K - $150K/yr

Expertise with Databricks, specifically the ability to design enterprise-level strategy and ... Experience with data management, including data governance, data security, master data management ...

Data Engineer

Chicago, IL

$120K - $150K/yr

Expertise with Databricks, specifically the ability to design enterprise-level strategy and ... Experience with data management, including data governance, data security, master data management ...

Data Engineer

Chicago, IL · On-site

$120K - $150K/yr

Expertise with Databricks, specifically the ability to design enterprise-level strategy and ... Experience with data management, including data governance, data security, master data management ...

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ... Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for ...

Data Engineer

Chicago, IL · On-site

$118K - $141.60K/yr

... manage field mappings and transformations to support consistent downstream consumption. Data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Data Engineer

Chicago, IL

$46.07 - $68.64/hr

Data Management Work Type: Full Time (Total FTE between 0. 9 and 1. 0) Shift: Shift 1 Work Schedule ... Databricks. • Proficient in RDBMS such as Oracle, SQL Server, DB2, MySQL etc. • Strong ...

Lead Data Engineer

Chicago, IL

$118K - $141.60K/yr

Optiver Chicago is seeking a seasoned Data Engineer to support and advance the data capabilities of ... In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake ...

Senior Data Engineer

Bolingbrook, IL · On-site

$102.90K - $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 ...

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

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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Manager Databricks Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

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

As of May 29, 2026, the average yearly pay for manager 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 the difference between Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

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 Manager Databricks Data Engineer jobs in Chicago, IL? For Manager Databricks Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Manager Databricks Data Engineer jobs in Chicago, IL look for? The top searched job categories for Manager Databricks Data Engineer jobs in Chicago, IL are:

Data Support Engineer (Databricks experience)

WorkNovas LLC

Chicago, IL • On-site

$118K - $141.60K/yr

Contractor

Posted 9 days ago


Job description

Position: Data Support Engineer (Databricks experience)

Location: Chicago, IL 6060

Duration: 6 months

Job Description:

A Data Application Support role specializing in Databricks focuses on maintaining, troubleshooting, and optimizing Spark-based data pipelines and Lakehouse architectures. Key responsibilities include resolving L2/L3 production incidents, performance tuning SQL/Python (PySpark) jobs, managing Delta Lake assets, and collaborating with data engineers to ensure data reliability.

Key Responsibilities

  • Incident & Problem Management: Provide L2/L3 support for data applications, resolving production issues and troubleshooting Databricks jobs, notebooks, and workflows.
  • Performance Tuning: Optimize Spark applications, SQL queries, and Delta Lake tables to improve efficiency and reduce costs.
  • Pipeline Maintenance: Monitor and troubleshoot ETL/ELT pipelines in Databricks (including Data Factory/Delta Live Tables), ensuring data quality and lineage (Unity Catalog).
  • Collaboration: Act as a liaison between users, data engineering teams, and platform engineering, providing technical expertise and contributing to documentation.
  • Automation: Create tools to automate routine support tasks and enhance support team productivity. Databricks +5

 

Required Qualifications & Skills

  • Technical Expertise: Strong hands-on experience with Apache Spark, Python/PySpark, and SQL.
  • Databricks Ecosystem: Proficiency with Databricks Unified Data Analytics Platform, Delta Lake, and ideally Azure Databricks.
  • Cloud Data Storage: Experience with Azure Data Lake Storage (ADLS Gen2) or similar data lake technologies.
  • Version Control & CI/CD: Experience with Git/Azure DevOps for code management.
  • Problem-Solving: Strong analytical skills, with the ability to diagnose complex data processing bottlenecks. 

 

"Nice-to-Have" Skills 

  • Data orchestration tools (e.g., Apache Airflow, Azure Data Factory).
  • Data governance tools (e.g., Unity Catalog, Collibra).
  • Streaming data knowledge (e.g., Spark Structured Streaming).