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Databricks Engineer Jobs in Illinois (NOW HIRING)

Production programming experience in Python, R, Scala or Java * Nice to have: Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The ...

Databricks Lead Engineer

Chicago, IL · On-site

$75K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineering|Databricks Technical Skills 2 Technology|Big Data - Data Processing|PySpark Technical Skills 3 Technology|Artificial Intelligence|Artificial Intelligence - ALL Overview The Infosys Data ...

Senior Architect, Databricks

Chicago, IL · On-site

$215K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Databricks, while gaining exposure to a variety of industries including Healthcare, Financial ... Collaborate with data science and engineering teams to productionize machine learning and ...

Senior Data Engineer

Chicago, IL · On-site

$148K - $164K/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 5 ...

New

Azure Data Engineer

Chicago, IL · On-site

$56.75 - $70.25/hr

Azure Data engineer: Min. 10+ years of experience with good work experience in Banking domainStrong experience in Azure Databricks| ADLS| Synapse and Azure Data FactoryExperience in creating data ...

Senior Data Engineer

Chicago, IL · On-site

$65 - $80/hr

  • Medical

  • Dental

  • Retirement

The ideal candidate has strong expertise in Databricks, SQL, Python, and AWS, along with experience ... Support data engineering best practices and contribute to scalable, high-quality data solutions.

Showing results 41-60

Databricks Engineer information

See Illinois salary details

$57.7K

$108.2K

$196.7K

How much do databricks engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for databricks engineer in Illinois is $108,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $128,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What cities in Illinois are hiring for Databricks Engineer jobs? Cities in Illinois with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Illinois as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $108,174 per year, or $52 per hour.

Databricks Architect - (ADLS, S3, or GCS).

VTekis Consulting LLP

Chicago, IL • On-site

$66.75 - $87.50/hr

Contractor

Posted 13 days ago


Job description

Company Description

We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of thustry trends and technologies.

Job Description

Required Skills
13+ years of experience in Data Engineering/Data Architecture.
Strong hands-on experience with Databricks and the Lakehouse architecture.
Expertise in Apache Spark (PySpark/Scala).
Experience with Azure Databricks, AWS Databricks, or GCP Databricks.
Strong SQL and data modeling skills.
Experience designing and implementing ETL/ELT pipelines.
Knowledge of Delta Lake, Unity Catalog, and performance optimization.
Experience with cloud storage solutions (ADLS, S3, or GCS).
Familiarity with CI/CD, Git, and DevOps practices.
Excellent communication and stakeholder management skills.
Preferred Skills
Experience with streaming data (Kafka, Structured Streaming).
Knowledge of orchestration tools such as Airflow or Azure Data Factory.
Databricks or Cloud certifications are a plus.
Responsibilities:
Design and architect scalable Databricks data solutions.
Develop high-performance data pipelines using Spark and Databricks.
Optimize data processing, storage, and query performance.
Collaborate with business and technical teams to define data architecture.
Implement data governance, security, and best practices.
Mentor engineering teams and provide technical leadership.

Regards,

Mohammed ilyas,

PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com

Additional Information

All your information will be kept confidential according to EEO guidelines.