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Azure Databricks Jobs in Naperville, IL (NOW HIRING)

Brillius

Client

Chicago, IL · On-site

$56.75 - $70.25/hr

Job Title Azure Databricks Data Engineer Estimated Start Date 3/10/2025 Location Chicago, IL~Dallas,TX Duration(Months) 6 Months Remote Possibility Onsite Overall 6+ years of experience as developer ...

Scadea

Azure Data Engineer

Chicago, IL

$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 ...

Techstra Solutions

Data Bricks Archiect

Oak Brook, IL · On-site

$140K - $160K/yr

The ideal candidate is an experienced data platform architect with deep expertise in Azure Databricks, modern cloud data architectures, and enterprise analytics best practices. This is a non-coding ...

Sidley

Senior Data Engineer

Chicago, IL · Hybrid

$109K - $148K/yr

Build E2E Azure Databricks-based data solutions. * Design, develop, and maintain scalable ETL and streaming data pipelines on Azure Databricks, leveraging Apache Spark, Delta Lake, and Azure Data ...

Sidley Austin LLP

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Build E2E Azure Databricks-based data solutions. * Design, develop, and maintain scalable ETL and streaming data pipelines on Azure Databricks, leveraging Apache Spark, Delta Lake, and Azure Data ...

Techstra Solutions

Data Bricks Archiect

Oak Brook, IL · On-site

... Azure Databricks and the Microsoft Azure ecosystem. • Establish and enforce data architecture standards, governance, and reusable design patterns. • Guide implementation of the Medallion ...

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Azure Databricks information

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How much do azure databricks jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for azure databricks in Naperville, IL is $58.31, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $65.53 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a popular platform for data engineering, analytics, and machine learning, and professionals with skills in Spark, Python, and cloud environments are increasingly sought after. As organizations adopt cloud-based data solutions, demand for roles involving Azure Databricks continues to grow across industries.

What does a typical day look like for someone working in an Azure Databricks role?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

Is Databricks a high paying job?

Azure Databricks professionals, such as data engineers and data scientists, typically earn above-average salaries due to their specialized skills in cloud platforms, big data processing, and machine learning. Compensation varies based on experience, location, and certifications, but these roles are generally well-paid within the tech industry.

What is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is an Azure Databricks job?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

What is the salary of Azure Databricks developer?

The salary of an Azure Databricks developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in Spark, Python, and cloud environments tend to earn higher salaries.

What are the key skills and qualifications needed to thrive in the Azure Databricks position, and why are they important?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

What are popular job titles related to Azure Databricks jobs in Naperville, IL? For Azure Databricks jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Azure Databricks jobs in Naperville, IL look for? The top searched job categories for Azure Databricks jobs in Naperville, IL are:
Azure Databricks jobs near you
Client

Client

Brillius

Chicago, IL • On-site

$56.75 - $70.25/hr

Contractor

Re-posted 26 days ago

Job description

Job TitleAzure Databricks Data EngineerEstimated Start Date3/10/2025LocationChicago, IL~Dallas,TXDuration(Months)6 MonthsRemote PossibilityOnsite
 

Job Description:
 
 
Overall 6+ years of experience as developer with strong hands‑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: 
Keyword: 
Skills: Digital : Databricks
Experience Required: 6-8