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Azure Databricks Engineer Jobs in Illinois (NOW HIRING)

Sidley

Data Engineering Manager

Chicago, IL · Hybrid

The Data Engineering Manager will lead a scrum team of data engineers in the design, development ... Strong expertise in Azure Databricks, Delta Lake, Databricks SQL, Apache Spark, Unity Catalog ...

Sidley Austin LLP

Data Engineering Manager

Chicago, IL · On-site

The Data Engineering Manager will lead a scrum team of data engineers in the design, development ... Strong expertise in Azure Databricks, Delta Lake, Databricks SQL, Apache Spark, Unity Catalog ...

247Hire

Data Support Engineer

Chicago, IL · On-site

$118K - $141K/yr

Proficiency with Databricks Unified Data Analytics Platform, Delta Lake, and ideally Azure ... Experience with Git/Azure DevOps for code management. * Problem-Solving: Strong analytical skills ...

MSR Technology Group

Senior Data Engineer

Springfield, IL · Remote

$105K - $142K/yr

Work with Azure, Databricks, Snowflake, Python, and modern cloud technologies * High-impact role supporting large data and analytics initiatives * Collaborative engineering-focused environment If you ...

VeeRteq Solutions Inc.

Engineer

Chicago, IL · On-site

Sr. Engineer with experience working in GraphDB, Stardog, Noe.JS to join our team in Chicago, IL ... Experience with Azure Databricks or similar data platforms is preferred. Skills Stardog, Neo4j ...

ADDSOURCE

Engineer

Chicago, IL · On-site

Sr. Engineer with experience working in GraphDB, Stardog, Noe.JS to join our team in Chicago, IL ... Experience with Azure Databricks or similar data platforms is preferred. Skills Stardog, Neo4j ...

CitiusTech

AI Lead Engineer

Chicago, IL · On-site

$105K - $139K/yr

Azure Databricks and PySpark * MLflow * Unity Catalog * Python and SQL * Azure Blob Storage * Azure ... engineering teams and thought leaders with an entrepreneurial mindset, centered on our core values ...

Dlapiper

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

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Azure Databricks Engineer information

How much does an Azure Databricks engineer make?

An Azure Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in big data and cloud environments may earn higher compensation.

What cities in Illinois are hiring for Azure Databricks Engineer jobs?

Cities in Illinois with the most Azure Databricks Engineer job openings:

Infographic showing various Azure Databricks Engineer job openings in Illinois as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Enterprise Data Warehouse (EDW) ETL/Data Engineer

Springfield, IL • On-site

CSpring
51 - 200 employees
Learn more about CSpringexternal

$113K - $136K/yr

Full-time

Re-posted 16 days ago

Job description

Job Summary:
CSpring is a purpose-driven consulting firm that helps organizations solve complex business and technology challenges through modern data, analytics, and engineering solutions. They are seeking a Senior Azure Data Engineer to design, build, and support a next-generation enterprise data platform on Microsoft Azure, focusing on developing scalable data pipelines and data products for analytics and reporting.
Responsibilities:
• Design and develop reusable, parameter-driven ingestion and transformation pipelines using Azure Data Factory, Synapse Pipelines, Databricks, and/or Microsoft Fabric Data Factory
• Build and maintain medallion architecture (Bronze / Silver / Gold) solutions using Azure Data Lake Storage Gen2, Delta Lake, Parquet, and structured streaming patterns
• Develop performant ELT workflows leveraging pushdown processing to platforms such as Synapse Dedicated SQL Pool, Azure SQL, and Teradata
• Create and optimize PySpark notebooks and distributed processing jobs in Azure Databricks or Synapse Spark
• Design dimensional data models using Kimball star and snowflake methodologies
• Implement data vault patterns, Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving data strategies
• Optimize distributed SQL workloads in Synapse Dedicated SQL Pool and/or Fabric Warehouse environments
• Tune partitioning, indexing, and query performance for enterprise-scale datasets
• Implement CI/CD processes for data pipelines using Azure DevOps, YAML pipelines, ARM templates, Bicep, and/or Terraform
• Build monitoring, logging, and auditing solutions using Azure Monitor, Log Analytics, and KQL
• Support code reviews, branching strategies, release management, and engineering standards across environments
• Participate in troubleshooting and production incident response for critical data pipelines
• Lead or contribute to cloud modernization initiatives, including Informatica PowerCenter to Azure Data Factory migrations
• Support migration efforts from on-premises Teradata, Oracle, or SQL Server environments to Azure Synapse or Microsoft Fabric
• Assist with workload assessments, capacity planning, and cloud cost optimization initiatives
Qualifications:
Required:
• Deep hands-on expertise with Azure Data Factory, including pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and Integration Runtime types (Azure, Self-hosted, and SSIS)
• Strong experience with Azure Databricks and PySpark
• Production experience with one or more of the following: Azure Synapse Analytics (Dedicated SQL Pools, Serverless SQL Pools, Spark Pools), Azure Databricks (Delta Lake, Unity Catalog), Microsoft Fabric (Warehouse, Lakehouse, OneLake)
• Strong understanding of Azure Data Lake Storage Gen2, including hierarchical namespace, RBAC/ACL security, lifecycle management, and governance
• Experience with Azure Key Vault, Azure AD / Entra ID, managed identities, service principals, and private networking concepts
• Experience monitoring and troubleshooting data solutions using Azure Monitor, Log Analytics, and KQL
• Advanced SQL skills including window functions, CTEs, query optimization, execution plan analysis, and performance tuning
• Strong Python skills for data engineering, including pandas, PySpark, REST API integration, and unit testing with pytest
• Proficiency with T-SQL and familiarity with Spark SQL, KQL, PowerShell, and Bash scripting
Preferred:
• 5+ years of enterprise data warehouse or data engineering experience
• 5+ years of data modeling experience using ERWIN or similar modeling tools
• 2+ years of experience with Azure Data Factory and Snowflake
• Experience working in healthcare or Medicaid environments
Company:
CSpring is a technology consulting company that delivers the systems and expertise needed to achieve technology-enabled business goals. Founded in 1996, the company is headquartered in Indianapolis, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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