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

S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI's potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Summary We are seeking a hands-on Data Engineer to support AI and data initiatives focused on Azure and Databricks. The ideal candidate will have strong experience building scalable data ...

Data 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 ...

Azure Data Engineer

Chicago, IL · On-site

$97K - $130K/yr

Azure Data Engineer Salary: $97,500-$130,000 Job Summary We are seeking an experienced Azure Data Engineer with strong Databricks expertise to design, develop, and support scalable cloud-based data ...

New

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Development, Cloud Engineering & DevOps Cloud Platform: AWS (Compute, Storage ... Python, PySpark, SQL, Prefect, Snowflake, Snowpark, dbt, airbyte, Databricks on AWS DevOps Skills:

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Data Engineer II

Chicago, IL · On-site

$117K - $141K/yr

You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... This position is ideal for an engineer who enjoys solving complex data challenges, building ...

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 ...

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

SnowProcore, Databricks Data Engineer Associate, Google Associate Cloud Engineer or Data Engineer coursework * General skills: GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation of ...

New

Data Engineer II

Chicago, IL · On-site

$117K - $141K/yr

You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... This position is ideal for an engineer who enjoys solving complex data challenges, building ...

Showing results 21-40

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.

Manager, Field Engineering - MFG

Databricks

Chicago, IL • On-site

$172K - $237K/yr

Full-time

Re-posted 16 days ago


Job description

REQ ID - FEQ327R483
Location(s): Central US (Texas, Illinois, St. Louis)
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Central United States.
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 Platform to securely deliver AI's potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers' Data + AI experiences forward.
As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing Segment of Databricks' Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.
The impact you will have:
  • You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode.
  • Make your customers extremely successful with Databricks and provide outsized value to their businesses.
  • You will maintain a robust hiring pipeline at all times.
  • Establish relationships across the business to make your customers and team successful.
  • Partner with sales leadership to hit sales and consumption targets while ensuring customer success
  • Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs

What we look for:
  • 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals
  • 7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI).
  • A deep technical understanding of the impact that Data + AI can drive within various industry segments
  • Technical competence to earn the trust of Engineering talent and leadership at Databricks.
  • Trusted advisor to technical executives who guide strategic data infrastructure decisions.
  • Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.
  • Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans.
  • Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners.
  • Experience working with other teams such as Product Management, Engineering, and Customer Success.
  • Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale.

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 2 Pay Range
$172,500-$237,150 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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