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

Ulta Beauty

Senior Data Engineer

Bolingbrook, IL · On-site

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...

Ulta Beauty, Inc.

Senior Data Engineer

Bolingbrook, IL

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...

Databricks

Solutions Engineer

Chicago, IL · On-site

$121K - $167K/yr

FEQ327R95 Solutions Engineer At Databricks, our core values drive everything we do; a culture of ... Operate as an expert in big data analytics to excite customers about Databricks. You will develop ...

Optiver

Lead Data Engineer

Chicago, IL · On-site

$200K/yr

Optiver Chicago is seeking a seasoned Data Engineer to support and advance the data capabilities of ... In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake ...

Ulta Beauty, Inc.

Senior Data Engineer

Bolingbrook, IL · On-site

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...

MJ Holding Company, LLC

Data Engineer

Bridgeview, IL

$116K - $140K/yr

... Databricks, BigQuery, or similar technologies. * Define and enforce standards for data modeling ... Data Engineering & Platform Development * Design, build, and optimize robust ELT/ETL pipelines ...

MJ Holding Company LLC

Data Engineer

Bridgeview, IL

$116K - $140K/yr

... Databricks, BigQuery, or similar technologies. * Define and enforce standards for data modeling ... Data Engineering & Platform Development * Design, build, and optimize robust ELT/ETL pipelines ...

Request Technology, LLC

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Data Engineer Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *We ... cloud data platform such as Databricks or Snowflake * Familiarity with data modeling design ...

MJ Holding Company

Data Engineer

Bridgeview, IL · On-site

$116K - $140K/yr

... Databricks, BigQuery, or similar technologies. * Define and enforce standards for data modeling ... Data Engineering & Platform Development * Design, build, and optimize robust ELT/ETL pipelines ...

Fitch Group

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...

Fitch Solutions

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...

Milliman

Data Engineer (MedInsight)

Chicago, IL · On-site +1

$93K - $177K/yr

This role is ideal for someone with experience in modern data platforms, including Databricks, Spark, and cloud technologies, who is eager to take ownership of complex data engineering initiatives ...

1 point system

Databricks Engineer

Chicago, IL · 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 ...

Prodigious Worldwide

Senior Data Engineer

Chicago, IL · On-site

$88K - $165K/yr

Senior Data Engineer At Epsilon, we do more than collect and store data. We help some of the world ... Apply deep expertise in Databricks, AWS, SQL, Python, Linux, and cloud integration patterns to ...

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Databricks Data Engineer information

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$45.8K

$133.6K

$182.9K

How much do databricks data engineer jobs pay per year?

As of Jun 16, 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 job?

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 typical day look like for a Databricks Data Engineer?

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 in the Databricks Data Engineer position, and why are they important?

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.

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 are popular job titles related to Databricks Data Engineer jobs in Chicago, IL? For Databricks Data Engineer jobs in Chicago, IL, the most frequently searched job titles 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:
Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Chicago, IL as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Part Time, 1% Contract, and 1% Nights. Highlights an 86% Physical, 7% Hybrid, and 7% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.
Senior Data Engineer

Senior Data Engineer

Ulta Beauty

Bolingbrook, IL • On-site

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 27 days ago

Ulta Beauty rating

6.0

Company rating: 6.0 out of 10

Based on 996 frontline employees who took The Breakroom Quiz

12th of 23 rated health and beauty retailers

Job description

OVERVIEW
Live the experience. From professional empowerment to continual learning opportunities. From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta Beauty, our tech team is critical to our scalability-and is recognized that way. We've been defined as a "mature start-up." A place where interdepartmental exposure, open doors, and genuine collaboration is ubiquitous. Where challenges come fast and furious, requiring agility, mental dexterity, and creativity. Where our passion for better solutions drives us and is core to who we are.
We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by continual change and ambiguity, by superior leadership, by whip smart colleagues who will press you daily for your very best, you'll find that virtually nothing's impossible at Ulta Beauty.
THE IMPACT YOU CAN MAKE:
The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They work alongside engineers, analysts and developers to deliver scalable robust innovative technical solutions. This position plays a key role in building batch and real-time data pipelines, streaming analytics and developing machine learning and agentic AI solutions on our GCP and Databricks platforms to enhance Ulta guest experience.
YOU'LL ACCOMPLISH THESE GOALS BY:
  • Design, develop, and support scalable batch and real-time data pipelines for large-scale data processing across enterprise platforms like Google Cloud Platform and Databricks.
  • Build data engineering solutions on GCP using services such as BigQuery, Dataflow, Cloud Composer/Airflow, GCS, Pub/Sub, APIs, and related cloud services.
  • Develop and support data ingestion, curation, transformation, and consumption pipelines on Databricks using Spark, Delta Lake, notebooks, workflows/jobs, and Databricks SQL where applicable.
  • Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability, and cost efficiency.
  • Support automated deployment, code promotion, version control, and continuous integration practices using tools such as GitHub/Bitbucket, Jenkins, Docker, shell scripting, and other DevOps tools.
  • Collaborates with cross-functional technologists ad business partners across the organization to gather requirements, solve new problems and deliver quality results.
  • Mentor junior engineers and consultants on data engineering best practices, coding standards, cloud development, data quality, and operational excellence.
  • Supports the operations of the deployed solutions, investigates complex issues and assists with the resolution and implementation of preventive measures.
  • Assists with evaluation of Proof of Concepts (POCs), project estimation and engages in performance testing and tuning activities for large data sets.
ESSENTIALS FOR SUCCESS:
  • Bachelor's degree in computer science, a related field, or applicable work experience.
  • 5 years of development experience on various GCP services, Databricks (GCP preferred) and exposure to AI agentic development capabilities.
  • In-depth understanding large data warehouse ecosystems underlying architectures to re-platform legacy systems and build integration solutions on Google Cloud platform and Databricks.
  • Experience in design and development of data pipelines leveraging batch and real-time data ingestion frameworks and spark streaming
  • Experience Have a passion for new technologies, continuous improvement and actively involved with the team to design new data solutions, monitoring and alerting policies for data solutions.
  • Expertise in Java, Python or any scripting language, SQL/NoSQL Database systems.
  • Experience in tools and technologies such as BigQuery, Databricks, Spark, Kafka Streams
  • Experience in test automation ensuring data quality, continuous integrations build and deployment processes using Docker, GitHub, Jenkins and Unix/Linux shell scripts.
  • Hands-on experience developing complex services/solutions based on Enterprise Integration Patterns and Coding best practices.
  • Proactive and able to catch issues before failures.
  • Possess a strong work ethic; takes pride in producing a quality product and a strong team player
  • Work with production support and project consultants in an onshore / offshore model
  • Support off-hours production issues and code deployments as needed
  • Minimal travel required (training/conferences)

The pay range for this position is $102,900.00 - $140,000.00 / Year with the opportunity for eligible associates to earn additional compensation pursuant to the Company's bonus plan. Exact pay will be based on factors including, but not limited to relevant education, qualifications, certifications, experience, level, shift, geographic location, and business and organizational needs. Full-time positions are eligible for paid time off, health, dental, vision, life and disability benefits. Part-time positions are eligible for dental, vision, life, and disability benefits. For additional information concerning our benefits, visit our Benefits and Career Development page: https://learn.bswift.com/ulta
ABOUT
At Ulta Beauty (NASDAQ: ULTA), the possibilities are beautiful. Ulta Beauty is the largest North American beauty retailer and the premier beauty destination for cosmetics, fragrance, skin care products, hair care products and salon services. We bring possibilities to life through the power of beauty each and every day in our stores and online with more than 25,000 products from approximately 500 well-established and emerging beauty brands across all categories and price points, including Ulta Beauty's own private label. Ulta Beauty also offers a full-service salon in every store featuring-hair, skin, brow, and make-up services.
We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

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