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Databricks Data Engineer Jobs in Chicago, IL (NOW HIRING)

Databricks Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Required Skills & Experience · Total Experience: 10+ years in data engineering or related roles. · Cloud Data Platforms: Deep hands on experience with Databricks (notebooks, jobs, clusters, Delta ...

New

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to ...

Data Engineer - Databricks

Chicago, IL · On-site

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to ...

Data Engineer - Databricks

Chicago, IL

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries -- from public sector agencies to ...

Databricks Data Engineer, Risk Technology

Chicago, IL · On-site

$120K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer on the US Risk Technology team, you'll be working on AML Tech, Databricks, and other applications to ...

Databricks Data Engineer, Risk Technology

Chicago, IL · On-site

$120K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer on the US Risk Technology team, you'll be working on AML Tech, Databricks, and other applications to ...

Databricks Data Engineer, Risk Technology

Chicago, IL · Hybrid

$120K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer on the US Risk Technology team, you'll be working on AML Tech, Databricks, and other applications to ...

Databricks Data Engineer, Risk Technology

Chicago, IL · Hybrid

$120K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer on the US Risk Technology team, you'll be working on AML Tech, Databricks, and other applications to ...

Data Engineering Manager

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineering Manager will lead a scrum team of data engineers in the design, development, and delivery of Sidley's enterprise Databricks data platform. This role blends hands-on technical ...

The Data Engineering Manager will lead a scrum team of data engineers in the design, development, and delivery of Sidley's enterprise Databricks data platform. This role blends hands-on technical ...

The Data Engineering Manager will lead a scrum team of data engineers in the design, development, and delivery of Sidley's enterprise Databricks data platform. This role blends hands-on technical ...

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern data platforms using Microsoft Fabric and Databricks , with a strong emphasis on lakehouse ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

You'll partner with your manager and Machine Learning Engineers to architect, design and build our Databricks data platform and our Databricks MCP connector. iM Responsible For... * Using PySpark to ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

You'll partner with your manager and Machine Learning Engineers to architect, design and build our Databricks data platform and our Databricks MCP connector. iM Responsible For... * Using PySpark to ...

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern data platforms using Microsoft Fabric and Databricks , with a strong emphasis on lakehouse ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

You'll partner with your manager and Machine Learning Engineers to architect, design and build our Databricks data platform and our Databricks MCP connector. iM Responsible For... * Using PySpark to ...

Data Engineer - PySpark, Databricks & AWS Redshift Location: Chicago, IL (locals Only) Employment Type: W2 Contract We are seeking an experienced Data Engineer with strong hands-on expertise in ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL (3 days office) Employment: Contract Data Engineer with ... Work with Databricks for data processing. * Utilize AWS services like S3, CloudWatch, IAM, SNS, and ...

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Showing results 1-20

Databricks Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do databricks data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for databricks data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

What are the most commonly searched types of Databricks Data Engineer jobs in Chicago, IL?

The most popular types of Databricks Data Engineer jobs in Chicago, IL are:

What job categories do people searching Databricks Data Engineer jobs in Chicago, IL look for?

The top searched job categories for Databricks Data Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Databricks Data Engineer jobs?

Cities near Chicago, IL with the most Databricks Data Engineer job openings:

Infographic showing various Databricks Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Databricks Data Engineer

Donato Technologies Inc

Chicago, IL • On-site

$118K - $141K/yr

Other

Posted 3 days ago

New


Job description

Key Responsibilities
· Pipeline Development – Design, implement, and optimize scalable ETL/ELT pipelines using Databricks (PySpark, SQL, Delta Lake) to ingest structured and semi structured data from multiple sources (APIs, databases, streaming).
· Data Warehousing – Build and maintain cloud data warehouse solutions (Snowflake / Azure Synapse) – design star schemas, fact/dimension tables, and aggregate tables for high performance reporting.
· Data Modeling – Create logical and physical data models for operational and analytical use cases; implement SCD Type 2, slowly changing dimensions, and data vault methodologies where appropriate.
· Performance Tuning – Optimize Spark jobs, SQL queries, and data partitioning strategies to handle petabyte scale data with low latency.
· Governance & Quality – Implement data quality checks, monitoring, and lineage using tools like Great Expectations or custom frameworks; enforce data governance policies (GDPR/CCPA).
· Collaboration – Partner with data analysts, product managers, and engineers to translate business requirements into technical data solutions.
· CI/CD & Automation – Automate deployment of data pipelines using Azure DevOps or GitHub Actions; maintain infrastructure as code (Terraform) for data resources.

Required Skills & Experience

· Total Experience: 10+ years in data engineering or related roles.
· Cloud Data Platforms: Deep hands on experience with Databricks (notebooks, jobs, clusters, Delta Lake, Unity Catalog) – must have production level work.
· Data Warehousing: Proven experience with cloud data warehouses (Snowflake, Azure Synapse, or Redshift) – design, optimisation, and administration.
· Data Modeling: Strong knowledge of dimensional modeling (Kimball/Inmon), relational database design, and experience with tools like ER/Studio or dbt.
· Programming: Expert in Python and SQL – ability to write maintainable, production grade code.
· Big Data: Hands on with Apache Spark (PySpark), distributed computing, and performance tuning.
· Orchestration: Experience with workflow tools (Airflow, Azure Data Factory, or Prefect) for scheduling and monitoring pipelines.
· Version Control: Proficient with Git and collaborative development workflows.

Preferred Qualifications

· Experience with streaming technologies (Kafka, Event Hubs, or Kinesis).
· Knowledge of data mesh or data fabric architectures.
· Familiarity with BI tools (Power BI, Tableau, Looker).
· Databricks certification (e.g., Associate or Professional Data Engineer).
· Experience with dbt (data build tool) and transformation testing.
· Exposure to MLflow or MLOps practices.
Education & Soft Skills
· Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field (or equivalent practical experience).
· Strong communication skills
· Self starter with a problem solving mindset and ability to work independently in a hybrid environment.
Keyword: 
Skills: Digital : Snowflake~Digital : Databricks
Experience Required: 10 & Above