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Databricks Engineer Jobs in Bolingbrook, IL (NOW HIRING)

Databricks Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...

Sr Databricks Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Databricks Developer

Franklin Park, IL ยท On-site

$140K - $160K/yr

The Databricks Developer is located Northwest suburban office and reports to the Director of Enterprise Applications and Data Analytics in Information Technology. The Databricks Developer will build ...

Manager, Field Engineering - MFG

Chicago, IL ยท On-site

$172K - $237K/yr

The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence ...

Databricks Data Engineer II

Chicago, IL ยท On-site

$118K - $141K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Lead and scale Databricks platform administration across enterprise workspaces and multi-cloud ... Partner cross-functionally with Engineering, Security, Cloud, and Operations teams to ensure secure ...

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Showing results 1-20

Databricks Engineer information

See Bolingbrook, IL salary details

$58.8K

$110.4K

$200.7K

How much do databricks engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for databricks engineer in Bolingbrook, IL is $110,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,600.00 and $131,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

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 engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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, and why are they important?

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.
What are popular job titles related to Databricks Engineer jobs in Bolingbrook, IL? For Databricks Engineer jobs in Bolingbrook, IL, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Bolingbrook, IL look for? The top searched job categories for Databricks Engineer jobs in Bolingbrook, IL are:
What cities near Bolingbrook, IL are hiring for Databricks Engineer jobs? Cities near Bolingbrook, IL with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Bolingbrook, IL as of July 2026, with employment types broken down into 1% As Needed, 90% Full Time, 4% Part Time, and 5% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $110,387 per year, or $53.1 per hour.
Databricks Engineer

Databricks Engineer

1 point system

Chicago, IL โ€ข On-site

$118K - $141K/yr

Contractor

Posted 20 days ago


Job description

Job Description:

Key Responsibilities

Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake
Build and optimize ELT/ETL processes for structured and unstructured data ingestion into the Data Lakehouse
Implement scalable ingestion patterns (batch and event-driven) from internal systems, third-party APIs, and cloud sources
Develop data models (bronze, silver, gold layers) to support enterprise reporting, analytics, and downstream consumption
Data Platform & IntegrationIntegrate the Data Lakehouse with enterprise tools such as Tableau, Alteryx, and machine learning platforms
Design and implement data access controls, identity management, and secure data sharing mechanisms
Support API-based integrations and downstream data consumption patterns
Data Quality, Governance & ControlsImplement data quality checks, reconciliation processes, and monitoring within Databricks pipelines
Ensure adherence to enterprise data governance standards, including lineage, metadata, and audit requirements
Support regulatory and compliance requirements (e.g., data integrity, privacy, and security controls)
Cloud & AutomationDevelop and manage workflows using orchestration tools (e.g., Airflow, Control-M)
Automate data pipelines, deployments, and operational processes through CI/CD pipelines
Leverage cloud-native services (AWS/Azure) for data processing, storage, and event-driven architectures
Operations & SupportMonitor, troubleshoot, and optimize data pipelines and Spark workloads for performance and reliability
Support production data platforms, including incident resolution and root cause analysis
Ensure high availability, data integrity, and SLA adherence across enterprise data systems
CollaborationPartner with data architects, data scientists, BI teams, and business stakeholders to deliver data solutions
Participate in Agile ceremonies and contribute to iterative delivery of data products
Translate business requirements into scalable technical data solutions

Required Qualifications

8+ years of experience in data engineering, data platforms, or related roles
Hands-on experience with Databricks, Apache Spark (PySpark), and Delta Lake
Strong SQL and data modeling skills (relational and dimensional)
Experience building and supporting data pipelines in a cloud environment (AWS or Azure)
Experience with ELT/ETL tools (e.g., Fivetran, custom ingestion frameworks)
Familiarity with data orchestration tools (Airflow, Control-M)
Experience working in Agile development environments
Preferred QualificationsExperience in financial services or regulated environments (e.g., banking, risk, regulatory reporting)
Knowledge of data governance frameworks and tools (e.g., Collibra)
Experience with real-time or streaming data pipelines
Exposure to machine learning pipelines and feature engineering in Databricks
Cloud certifications (AWS, Azure, or Databricks)
Technical SkillsDatabricks (Lakehouse architecture, notebooks, jobs, Unity Catalog)
Spark / PySpark
SQL (advanced querying and optimization)