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Azure Databricks Jobs in Naperville, IL (NOW HIRING)

AceStack LLC

Azure DataBricks Developer

Chicago, IL · On-site

$56.75 - $70.25/hr

Azure Databricks Developer Location: Louisville, KY/ Chicago, IL/ Dallas, TX / Arlington, VA Fulltime Only Must Have Technical/Functional Skills • Design, develop, and maintain cloud native data ...

Diverse Lynx

: Azure DataBricks Developer

Chicago, IL · On-site

$56.75 - $70.25/hr

Azure Databricks Engineer Location: Louisville,KY/ Chicago,IL/ Dallas,TX / Arlington,VA Job Type: Fulltime Must Have Technical/Functional Skill * Design, develop, and maintain cloud native data ...

Capgemini

Data Engineer - Azure, Databricks

Chicago, IL · On-site

$112K - $148K/yr

Provide L1.5, L2, and L3 production support for Azure and Databricks-based data pipelines and applications. * Troubleshoot failures related to ingestion, transformations, scheduling, performance, and ...

Diverse Lynx

Databricks ETL Data Engineer

Chicago, IL · On-site

Job Title Azure Databricks ETL EngineerExperience5-8 years Job SummaryWe are seeking an experienced Azure Databricks ETL Engineer with strong handson expertise in ETL development using Python and SQL ...

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 ...

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 ...

Syntricate Technologies

Databricks, Azure

Chicago, IL · On-site

$56.75 - $70.25/hr

Position- Databricks, Azure Duration-Contract Location- Chicago, IL~ Dallas, TX JD * 4-6 Years' Experience * Strong Knowledge in Modules, Playbook and Plugins. Good knowledge in Application ...

Purple Drive

QA tester

Chicago, IL · On-site

Hands-on experience with testing large-scale data pipelines in data platforms like Azure Databricks (preferred) or Snowflake Azure Ecosystem Expertise: Experience with Azure Data Cloud - ADF, Synapse ...

Purple Drive

Salesforce Data Cloud Developer

Chicago, IL · On-site

$57.25 - $75.75/hr

The ideal candidate should have a proven track record of delivering end-to-end data solutions integrating Azure Databricks with Salesforce Data Cloud. Key Responsibilities: * Lead and deliver at ...

VBeyond

ETL Architect

Chicago, IL · On-site

This role requires expertise in Azure, Databricks along with hands-on experience in working with diverse data sources and ETL/ELT technologies. The architect will ensure efficient data movement ...

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Azure Databricks information

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How much do azure databricks jobs pay per hour?

As of Jun 28, 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 highly sought-after skill in data engineering and analytics roles due to its widespread adoption for big data processing and machine learning. Professionals with expertise in Spark, cloud platforms, and data pipelines using Azure Databricks are increasingly in demand across industries seeking scalable data solutions.

How much do Databricks employees make?

Azure Databricks employees' salaries vary based on role, experience, and location, but the average salary for data engineers and data scientists ranges from $100,000 to $150,000 annually. Entry-level positions typically start around $80,000, while senior roles can exceed $180,000. Compensation often includes benefits such as stock options and performance bonuses, especially for technical roles requiring expertise in cloud platforms and big data tools.

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.

What are jobs in Azure Databricks?

Jobs in Azure Databricks refer to automated tasks or workflows that run data processing, analytics, or machine learning tasks on the platform. They are scheduled or triggered to execute notebooks, JAR files, or Python scripts, often requiring knowledge of Spark, Scala, or Python, and are managed through the Azure Databricks workspace. These jobs enable scalable data engineering and analytics operations for data teams.

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 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.

Are Databricks skills in demand?

Azure Databricks skills are highly in demand as organizations seek professionals proficient in cloud-based data analytics, big data processing, and machine learning. Knowledge of Spark, Python, and data engineering concepts enhances job prospects in roles such as data engineer, data scientist, and analytics engineer.
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
Azure DataBricks Developer

Azure DataBricks Developer

AceStack LLC

Chicago, IL • On-site

$56.75 - $70.25/hr

Other

Posted 4 days ago

Job description

Azure Databricks Developer

Location: Louisville, KY/ Chicago, IL/ Dallas, TX / Arlington, VA

Fulltime Only

Must Have Technical/Functional Skills

• Design, develop, and maintain cloud native data engineering solutions using Azure Databricks.

• Build and manage PySpark notebooks to process large scale structured and semi structured datasets.

• Design, create, and maintain Delta Lake tables, ensuring data reliability, ACID transactions, and schema enforcement.

• Develop scalable data workflows and pipelines using Databricks notebooks and orchestration patterns.

• Optimize performance of Spark jobs, including tuning partitions, memory usage, caching strategies, and query execution.

• Work extensively with PySpark and Spark SQL, choosing the appropriate approach based on use case and performance needs.

• Support cloud data migration initiatives, migrating data pipelines from on prem or legacy platforms to Azure Databricks.

• Integrate Databricks with upstream and downstream systems (e.g., data sources, storage layers, reporting tools).

• Ensure data pipelines are robust, reusable, and maintainable, following enterprise data engineering best practices.

• Implement error handling, logging, monitoring, and recovery strategies for production grade data pipelines.

• Collaborate with data architects, analysts, and downstream consumers to understand data requirements.

• Perform debugging and root cause analysis for data quality, performance, or pipeline failures.

• Support testing, validation, and reconciliation of data during development, migration, and production phases.

• Follow security, governance, and compliance standards applicable to cloud data platforms.

• Actively participate in Agile/Scrum delivery, owning data engineering stories from development through deployment.

• Maintain documentation for notebooks, workflows, data models, and migration approaches.

Roles & Responsibilities

• Develop and maintain data engineering solutions using Azure Databricks and PySpark.

• Create, enhance, and optimize Databricks notebooks for data ingestion, transformation, and aggregation.

• Design and manage Delta Lake tables and pipelines supporting analytics and reporting use cases.

• Support cloud data migrations, including data validation and performance benchmarking.

• Optimize Spark jobs for performance, scalability, and cost efficiency.

• Collaborate with platform, DevOps, and data governance teams to ensure environment stability.

• Perform data pipeline testing and validation, ensuring correctness and completeness.

• Troubleshoot and resolve issues related to Spark jobs, Delta tables, and workflow execution.

• Participate in code reviews and enforce data engineering best practices.

• Support production deployments and post deployment stabilization.

• Provide inputs to data architecture and platform improvement initiatives.

• Mentor junior data engineers when required.

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About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Company size

51 - 200 Employees

Headquarters location

NJ, US

Year founded

2017

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