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Azure Databricks Jobs in Naperville, IL (NOW HIRING)

Accordion

Senior Consultant, Data Platform

Chicago, IL · On-site

$112K - $200K/yr

Orchestrate environments, security, and cost controls for Snowflake and Azure (ADF/Fabric, Databricks, Synapse, Key Vault, Purview). * Client leadership: Serve as the day-to-day executive contact ...

Databricks

Sr. Forward Deployed Engineer

Chicago, IL · On-site

$182K - $250K/yr

Work with Engineering and Databricks Customer Support to provide product and implementation ... Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at ...

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All JobsAzure Databricks JobsAzure Databricks Jobs in Naperville, IL

Azure Databricks information

See Naperville, IL salary details

$11

$58

$79

How much do azure databricks jobs pay per hour?

As of Sep 3, 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.

What is an Azure Databricks?

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 does an Azure Databricks do?

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.

What are the key skills and qualifications needed for an Azure Databricks?

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.

Are Azure Databricks in high demand?

Azure Databricks professionals are in high demand due to the increasing adoption of cloud-based data analytics and machine learning solutions. Skills in Spark, Python, and cloud environments enhance job prospects, with many organizations seeking expertise in managing large-scale data workflows on Azure. The role often requires familiarity with data engineering, data science, and cloud certifications.

Is Azure Databricks difficult to learn?

Azure Databricks is a cloud-based data analytics platform that combines Apache Spark with Azure services, and learning it involves understanding Spark concepts, data engineering, and cloud environment management. While it has a learning curve for beginners, familiarity with programming languages like Python or Scala and basic data processing skills can facilitate the learning process.

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 the salary of an Azure Databricks engineer?

The salary of an Azure Databricks engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications. Professionals with strong skills in Spark, cloud computing, and data engineering can expect higher compensation. Salaries may also vary based on company size and industry demand.

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
Infographic showing various Azure Databricks job openings in Naperville, IL as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $121,295 per year, or $58.3 per hour.

Azure Data Engineer

Kavi Software Technologies Private Limited

Barrington, IL • On-site

$113K - $136K/yr

Other

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Role: Data Engineer 

Experience: 5 Years 

Type: Full-Time

Mode: Onsite

Location: Barrington, IL

Job Description: -

  • Experience in Data Engineering, ETL, SQL Server, and data integration.
  • Strong hands-on expertise in SSIS and SQL Server Stored Procedures.
  • Excellent SQL skills including complex queries, CTEs, window functions, indexing, and performance tuning.
  • Experience developing and maintaining ETL workflows, data pipelines, data validation, and reconciliation.
  • Strong understanding of relational databases, data modeling, troubleshooting, and data quality.
  • Nice to Have: Azure Data Factory, Microsoft Fabric, Synapse, Databricks, Snowflake, ADLS, Power BI, Python, Azure DevOps/Git, and CI/CD.

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