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Azure Databricks Jobs in Naperville, IL (NOW HIRING)

VeeRteq Solutions Inc.

Data Modeler

Chicago, IL · Remote

$56 - $72.75/hr

Design Lakehouse-based solutions using Azure Databricks, Delta Lake, and Medallion Architecture . * Lead data discovery, source-to-target mapping, and EDW modernization initiatives. * Support ...

247Hire

Data Support Engineer

Chicago, IL · On-site

$118K - $141K/yr

Proficiency with Databricks Unified Data Analytics Platform, Delta Lake, and ideally Azure Databricks. Cloud Data Storage: Experience with Azure Data Lake Storage (ADLS Gen2) or similar data lake ...

247Hire

Data Support Engineer

Chicago, IL · On-site

$118K - $141K/yr

Proficiency with Databricks Unified Data Analytics Platform, Delta Lake, and ideally Azure Databricks. Cloud Data Storage: Experience with Azure Data Lake Storage (ADLS Gen2) or similar data lake ...

Ethereum Technologies LLC

Azure Data Architect

Chicago, IL · On-site

$150 - $190/hr

Developing and researching technologies such as Databricks, Fabric, Snowflake, Azure SQL, Data Factory, Azure Key Vault, Entra, Private Endpoints, Azure AI Services, Open AI, Terraform, Azure DevOps, ...

New

1 point system

Databricks Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for structured and ... Azure) for data processing, storage, and event-driven architectures Operations & SupportMonitor ...

Dlapiper

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

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All JobsAzure Databricks JobsAzure Databricks Jobs in Naperville, IL

Azure Databricks information

See Naperville, IL salary details

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How much do azure databricks jobs pay per hour?

As of Aug 8, 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, leading to strong demand for professionals skilled in its use. Roles often require knowledge of Spark, cloud computing, and data pipeline development, making Azure Databricks expertise valuable in the data industry.

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 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?

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.

Does Azure Databricks allow remote work?

Azure Databricks is a cloud-based data analytics platform used by data engineers and data scientists, and remote work is common for roles involving this technology. Many organizations enable remote work for Azure Databricks professionals, especially those with skills in cloud computing, data engineering, and collaboration tools. However, specific remote work policies depend on the employer and job role.

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.

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 86% Full Time, 1% Part Time, and 13% 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.

Data Modeler

VeeRteq Solutions Inc.

Chicago, IL • Remote

$56 - $72.75/hr

Contractor

Posted 15 days ago

Job description

Role: Senior Data Modeler

Location: Remote (Prefer PST, 2nd Preference CST) USA

Experience: Minimum 10+ years

As a Senior Data Modeler you will lead data modeling initiatives, support migration to Azure Databricks Lakehouse architecture, establish data governance standards, and partner with business and technical stakeholders to deliver scalable analytics and reporting solutions.

Duties:

  • Develop and maintain Conceptual, Logical, and Physical Data Models.
  • Design scalable healthcare payer data models for analytics and reporting.
  • Establish enterprise data standards, metadata, naming conventions, and business glossaries.
  • Design Lakehouse-based solutions using Azure Databricks, Delta Lake, and Medallion Architecture.
  • Lead data discovery, source-to-target mapping, and EDW modernization initiatives.
  • Support migration from legacy platforms such as Teradata, Netezza, Oracle, SQL Server, and Hadoop.
  • Collaborate with ETL and Data Engineering teams on data ingestion, orchestration, and transformation frameworks.
  • Design and optimize Power BI semantic models, data marts, star schemas, and snowflake schemas.
  • Define KPIs, measures, dimensions, and reporting hierarchies with business stakeholders.
  • Implement data governance, lineage, metadata management, and data quality frameworks.
  • Ensure compliance with HIPAA, CMS, PHI/PII, and enterprise governance standards.
  • Facilitate client workshops, requirements discussions, architecture reviews, and governance meetings.
  • Mentor junior team members and coordinate work across data modeling and engineering teams.

Required:

  • Strong experience in Healthcare Payer domain.
  • Expertise in Conceptual, Logical, and Physical Data Modeling.
  • Hands-on experience with Azure Databricks and Lakehouse Architecture.
  • Experience in EDW modernization and migration projects.
  • Strong knowledge of Power BI Semantic Layer Modeling.
  • Experience with: Star Schema, Snowflake Schema, Dimensional Modeling, Data Marts.
  • Knowledge of Delta Lake and Medallion Architecture (Bronze, Silver, Gold).
  • Experience with Azure Data Factory (ADF).
  • Strong stakeholder management and client-facing communication skills.
  • Experience implementing data governance, lineage, and data quality practices.
  • Understanding of healthcare compliance standards including HIPAA, CMS, and PHI/PII.

VeeRteq Solutions is an Equal Opportunity Employer