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Azure Databricks Engineer Jobs in Illinois (NOW HIRING)

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Senior Databricks & Spark Data Engineer Location: Richardson, TX or Chicago, IL Work Type: Hybrid Experience: 8+ Years -- Mandatory Visa: U.S. Citizens (USC) or Green Card Holders (GC) only Key ...

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Senior Databricks & Spark Data Engineer Location: Richardson, TX or Chicago, IL Work Type: Hybrid Experience: 8+ Years -- Mandatory Visa: U.S. Citizens (USC) or Green Card Holders (GC) only Key ...

Databricks Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Azure) for data processing, storage, and event-driven architectures Operations & SupportMonitor ... engineering, data platforms, or related roles Hands-on experience with Databricks, Apache Spark ...

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 ...

Sr Databricks Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ...

Senior Data Engineer

Chicago, IL · Hybrid

$109K - $148K/yr

Build E2E Azure Databricks-based data solutions. * Design, develop, and maintain scalable ETL and ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related field * A minimum of ...

Azure Data Architect

Chicago, IL · On-site

$65.50 - $85.25/hr

... data engineering, or enterprise data platforms. * Strong expertise in Microsoft Azure data services . * Hands-on experience with: * Azure Data Factory (ADF) * Azure Databricks * Azure Synapse ...

Azure Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Azure Databricks, etc) • Provide code review and facilitate code management for the engineering team to ensure best practices and performance standards • 4 years in SDLC agile and using CI/ CD ...

Data Engineering Manager

Chicago, IL · On-site

$150 - $200/hr

The Data Engineering Manager will lead a scrum team of data engineers in the design, development ... Strong expertise in Azure Databricks, including Databricks Lakehouse, Delta Lake, Databricks SQL ...

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Azure Databricks Engineer information

How much does an Azure Databricks engineer make?

An Azure Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in big data and cloud environments may earn higher compensation.

What cities in Illinois are hiring for Azure Databricks Engineer jobs?

Cities in Illinois with the most Azure Databricks Engineer job openings:

Infographic showing various Azure Databricks Engineer job openings in Illinois as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Azure Databricks Engineer

Chicago, IL • On-site

$50 - $58/hr

Contractor

Re-posted 23 days ago

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Job description

Senior Databricks & Spark Data Engineer

Location: Richardson, TX or Chicago, IL

Work Type: Hybrid

Experience: 8+ Years — Mandatory

Visa: U.S. Citizens (USC) or Green Card Holders (GC) only

Key Responsibilities

• Design, develop, and maintain scalable enterprise data pipelines using Scala, Apache Spark, and Databricks.

• Develop high-performance Scala/Spark applications for large-scale batch and real-time data processing.

• Build and optimize Databricks notebooks, jobs, workflows, and Lakehouse-based data solutions.

• Design and implement real-time and near-real-time streaming pipelines using Apache Kafka and Spark Structured Streaming.

• Develop and maintain Change Data Capture (CDC) solutions to efficiently process inserts, updates, and deletes from source systems.

• Implement incremental data ingestion and transformation patterns using CDC, Delta Lake, and Databricks.

• Design reliable and scalable ETL/ELT pipelines for large volumes of structured and semi-structured data.

• Implement enterprise data governance, security, access controls, and data lineage using Databricks Unity Catalog.

• Optimize Spark and Databricks workloads for performance, scalability, reliability, and cost efficiency.

• Troubleshoot Spark jobs, Kafka pipelines, production failures, data quality issues, and performance bottlenecks.

• Implement monitoring, logging, data quality checks, error handling, and recovery mechanisms across batch and streaming pipelines.

• Collaborate with data architects, platform engineers, application teams, and business stakeholders to deliver secure and production-ready data solutions.


Mandatory Skills

Scala | Apache Spark | Databricks | Apache Kafka | CDC | Unity Catalog

8+ years of relevant experience is mandatory.

Only USC/GC candidates will be considered.

Candidates must be comfortable working in a hybrid model in Richardson, TX or Chicago, IL.