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Azure Data Bricks Engineer Jobs in Chicago, IL (NOW HIRING)

Client

Chicago, IL ยท On-site

$56.75 - $70.25/hr

... bricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog Good understanding of spark architecture with Databricks structured streaming, setting up Azure with Databricks ...

Azure Data Engineer

Chicago, IL ยท 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 ...

Data Bricks Archiect

Oak Brook, IL ยท On-site

$140K - $160K/yr

The ideal candidate is an experienced data platform architect with deep expertise in Azure ... Partner with business stakeholders, product owners, and engineering teams to translate business ...

... using Azure Databricks and the Microsoft Azure ecosystem. โ€ข Establish and enforce data ... and engineering teams to translate business requirements into scalable technical solutions. โ€ข ...

Data Engineering & DevelopmentDesign and develop end-to-end data ingestion| transformation| and loading (ETL/ELT) pipelines.Build and maintain enterprise data lakes and data warehouses on Azure.

Azure Data Architect

Chicago, IL ยท On-site

$65.75 - $84.50/hr

Partner with business, data engineering, and platform teams to enable Insights creation for delivering more value * Support Azure-based data platforms and data products, optimizing models for ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

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Azure Data Bricks Engineer information

See Chicago, IL salary details

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$60

$82

How much do azure data bricks engineer jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for azure data bricks engineer in Chicago, IL is $60.16, according to ZipRecruiter salary data. Most workers in this role earn between $54.47 and $67.60 per hour, depending on experience, location, and employer.

How does an Azure Data Bricks Engineer typically collaborate with data scientists and business analysts within a project team?

Azure Data Bricks Engineers often work closely with data scientists and business analysts to design, build, and optimize scalable data pipelines and analytics solutions. They enable seamless data access, integrate various data sources, and ensure efficient data processing, which allows data scientists to focus on modeling and analysis. Regular collaboration involves participating in sprint planning, code reviews, and troubleshooting sessions to ensure the data infrastructure aligns with business requirements. Clear communication and cross-functional teamwork are essential for successful project delivery.

What are the key skills and qualifications needed to thrive as an Azure Data Bricks Engineer, and why are they important?

To thrive as an Azure Data Bricks Engineer, you need a strong background in data engineering, distributed computing, and proficiency with languages like Python, SQL, and Scala, usually supported by a relevant degree or certification. Familiarity with Azure Data Bricks, Azure Data Lake, Spark, and integration with other Azure services is essential, as is knowledge of cloud security and DevOps practices. Strong problem-solving skills, attention to detail, and effective communication enable successful collaboration with cross-functional teams and stakeholders. These skills are vital for building scalable, reliable data solutions that drive business insights and value in cloud-based environments.

What is an Azure Databricks Engineer?

An Azure Databricks Engineer is an IT professional who specializes in designing, developing, and maintaining data analytics solutions using Azure Databricks, a cloud-based Apache Spark platform provided by Microsoft Azure. They build data pipelines, integrate data from various sources, and enable advanced analytics and machine learning tasks. Their responsibilities often include optimizing performance, ensuring data security, and collaborating with data scientists and business analysts to deliver insights.

What is the difference between Azure Data Bricks Engineer vs Data Engineer?

AspectAzure Data Bricks EngineerData Engineer
Required CredentialsAzure certifications, SQL, SparkGeneral data management, SQL, Python, cloud certifications
Work EnvironmentAzure cloud platform, Data Bricks environmentVarious cloud platforms or on-premises data systems
Employer & Industry UsageTech, finance, healthcare using Azure cloudBroad industry, including tech, finance, retail
Common Search & ComparisonFocus on Azure Data Bricks-specific skillsBroader data pipeline and database management skills

Azure Data Bricks Engineers specialize in building data solutions on the Azure platform using Data Bricks, while Data Engineers have a broader role managing data pipelines across various platforms. Both roles require SQL and cloud knowledge, but Azure Data Bricks Engineers focus more on Spark and Azure-specific tools.

What job categories do people searching Azure Data Bricks Engineer jobs in Chicago, IL look for? The top searched job categories for Azure Data Bricks Engineer jobs in Chicago, IL are:
Infographic showing various Azure Data Bricks Engineer job openings in Chicago, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,138 per year, or $60.2 per hour.

Client

Brillius

Chicago, IL โ€ข On-site

$56.75 - $70.25/hr

Contractor

Re-posted 5 days ago


Job description

Job TitleAzure Databricks Data EngineerEstimated Start Date3/10/2025LocationChicago, IL~Dallas,TXDuration(Months)6 MonthsRemote PossibilityOnsite
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Job Description:
ย 
ย 
Overall 6+ years of experience as developer with strong handsโ€‘on experience with Azure Databricks, PySpark, Spark SQL, and Delta Lake
Experience in developing Spark applications using spark-SQL in Databricks for data extraction, transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patterns
Extract, transform and load from sources system to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Pyspark and Azure Data Lake Storage (ADLS), and Azure DevOps. Data ingestion to one or more Azure services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks
Hands on experience on developing SQL scripts for automation
Proficiency in Python, SQL, and data transformation logic.
Experience building CI/CD pipelines for data engineering workloads
Extensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog
Good understanding of spark architecture with Databricks structured streaming, setting up Azure with Databricks, managing clusters in Databricks
Excellent interpersonal, verbal, and written communication skills
Role Descriptions: Overall 6 years of experience as developer with strong handson experience with Azure Databricks| PySpark| Spark SQL| and Delta LakeExperience in developing Spark applications using spark-SQL in Databricks for data extraction| transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patternsExtract| transform and load from sources system to Azure Data Storage services using a combination of Azure Data factory| T-SQL| Pyspark and Azure Data Lake Storage (ADLS)| and Azure DevOps. Data ingestion to one or more Azure services (Azure Data Lake| Azure Storage| Azure SQL| Azure DW) and processing the data in Azure DatabricksHands on experience on developing SQL scripts for automationProficiency in Python| SQL| and data transformation logic.Experience building CICD pipelines for data engineering workloadsExtensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform| SQL Analytics| Delta Lake| and Unity CatalogGood understanding of spark architecture with Databricks structured streaming| setting up Azure with Databricks| managing clusters in DatabricksExcellent interpersonal| verbal| and written communication skills
Essential Skills: Overall 6 years of experience as developer with strong handson experience with Azure Databricks| PySpark| Spark SQL| and Delta LakeExperience in developing Spark applications using spark-SQL in Databricks for data extraction| transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patternsExtract| transform and load from sources system to Azure Data Storage services using a combination of Azure Data factory| T-SQL| Pyspark and Azure Data Lake Storage (ADLS)| and Azure DevOps. Data ingestion to one or more Azure services (Azure Data Lake| Azure Storage| Azure SQL| Azure DW) and processing the data in Azure DatabricksHands on experience on developing SQL scripts for automationProficiency in Python| SQL| and data transformation logic.Experience building CICD pipelines for data engineering workloadsExtensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform| SQL Analytics| Delta Lake| and Unity CatalogGood understanding of spark architecture with Databricks structured streaming| setting up Azure with Databricks| managing clusters in DatabricksExcellent interpersonal| verbal| and written communication skills
Desirable Skills:ย 
Keyword:ย 
Skills: Digital : Databricks
Experience Required: 6-8