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Manager Databricks Data Engineer Jobs in Chicago, IL

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/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 ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/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 ...

Rush University Medical Center

Data Engineer

Chicago, IL

$46.07 - $68.64/hr

... • Data management experience. • Experience in ETL Tools such as Pentaho, Talend, Informatica ... Databricks. • Proficient in RDBMS such as Oracle, SQL Server, DB2, MySQL etc. • Strong ...

1 point system

Databricks Engineer

Chicago, IL · On-site

$118K - $141K/yr

... identity management, and secure data sharing mechanisms Support API-based integrations and ... engineering, data platforms, or related roles Hands-on experience with Databricks, Apache Spark ...

Fitch Solutions

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... You are proficient with agile tools such as JIRA for sprint management and Confluence for technical ...

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 ...

Fitch Group

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... You are proficient with agile tools such as JIRA for sprint management and Confluence for technical ...

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 ...

Grainger Businesses

Data Engineer

Lake Forest, IL · On-site

$95K - $158K/yr

As a Data Engineer within the Grainger Data & Analytics domain, you will be responsible for ... managing pipelines with workflow tools such as Databricks Workflows, Apache Airflow, or Luigi.

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 ...

Prophecy Technologies

Azure Data Engineer

Chicago, IL · On-site

$56.75 - $70.25/hr

Azure Data engineer: Min. 10+ years of experience with good work experience in Banking domainStrong experience in Azure Databricks| ADLS| Synapse and Azure Data FactoryExperience in creating data ...

IMC Trading

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Databricks, Iceberg, etc) • Experience with Apache Spark, Apache Flink or similar tools • ... Manager, Alerta and OpsGenie • Strong statistical analysis skills • Demonstrated ability to ...

Cohort AI Inc.

Associate Data Engineer

Naperville, IL · Remote

$114K - $137K/yr

About the Role We're looking for an Associate Data Engineer to join our team and help make data ... Use tools like Databricks, BigQuery, Redshift, dbt, and command-line utilities * Collaborate with ...

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 ...

Horizontal Talent

Data Engineer

Chicago, IL · Hybrid

$32 - $65/hr

Join a high-impact data engineering team supporting a payments migration initiative for an ... Develop and implement data pipelines using Databricks and Azure Data Factory. * Contribute to large ...

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

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 Aug 10, 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:
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Manager Databricks Data Engineer jobs near you

Data Engineer

Inspire11

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Inspire11 is a modern business and technology consulting firm that values creativity and collaboration. As a Data Engineer, you will design and build data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value.
Responsibilities:
• Design and build scalable data pipelines using Python, PySpark, SQL, and similar frameworks and languages to ingest, transform, and prepare data for analytics and AI use cases.
• Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and similar modern cloud data platforms.
• Define and build scalable ingestion patterns for structured and unstructured data
• Analyze data structures and sources to define transformation logic and ensure data quality and consistency.
• Implement data models and governance practices, including privacy controls such as PII masking and tokenization.
• Apply software development best practices—including version control, unit testing, and CI/CD pipelines—to deliver reliable and maintainable code.
• Collaborate with business and technical teams to translate requirements into clear technical designs using source-to-target mapping and logical models.
• Support data consumption needs by creating BI-ready datasets and enabling reporting, dashboards, and AI use cases.
• Engage directly with clients to share progress, provide recommendations, and align on deliverables.
• Explore emerging tech, including practical applications of AI/ML to automate data workflows, improve pipeline observability, and optimize performance.
• Bring a forward-thinking mindset to AI-powered solutions, including agentic solutions and LLM integrations, helping clients and teams navigate what's possible as the AI landscape evolves.
Qualifications:
Required:
• 3+ years of experience in data engineering, analytics engineering, or software development.
• Proficiency in SQL and Python, with hands-on experience building or maintaining data pipelines.
• Experience with cloud hyperscaler platforms including AWS, Azure, or GCP.
• Experience with modern cloud data stacks, such as Fabric, Databricks, Snowflake, Synapse, or Redshift.
• Understanding of AI/ML concepts, and curiosity to explore their role in data automation and augmentation.
• Experience with data warehouse design, dimensional modeling, or analytical data models.
• Knowledge of software development practices, including Git, automated testing, and CI/CD.
• Awareness of data governance and security principles, including privacy, cataloging, and compliance.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent training and project experience.
Company:
Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for clients, employees, and communities. It is a sub-organization of Insight. Founded in 2016, the company is headquartered in Chicago, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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