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Manager Databricks Data Engineer Jobs in Chicago, IL

Databricks

Solutions Engineer

Chicago, IL · On-site

$121.40K - $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 ...

MJ Holding Company LLC

Data Engineer

Bridgeview, IL

$116.90K - $140.40K/yr

... Databricks, BigQuery, or similar technologies. * Define and enforce standards for data modeling ... Prior experience in retail distribution, category management, or a similar industry is a plus.

Reply

Senior Data Engineer

Chicago, IL · On-site

$130K - $160K/yr

Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and ... Experience establishing data management strategy for customers, including data governance, data ...

Request Technology, LLC

Data Engineer

Chicago, IL · Hybrid

$118K - $141.80K/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

$116.90K - $140.40K/yr

... Databricks, BigQuery, or similar technologies. * Define and enforce standards for data modeling ... Prior experience in retail distribution, category management, or a similar industry is a plus.

Paul Hastings

Senior Data Engineer

Chicago, IL

$194.75K/yr

... Databricks, and Azure DevOps. In this capacity, the Senior Data Engineer will ... Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake ...

Paychex

Data Engineer

Chicago, IL

$99.60K - $156.50K/yr

Management - Preferred * Operations - Preferred * Data Engineering - Preferred * Python ... Databricks, Spark and/or other Big Data technologies. * 4 years of experience in Experience ...

iManage

Senior Data Engineer

Chicago, IL · On-site

$120K - $170K/yr

Architecting and managing data platforms that enforce governance, lineage tracking, and access ... Hands-on experience with Databricks, including Delta Lake, Delta Live Tables, Unity Catalog ...

New

Inspire11

Data Engineer

Chicago, IL · On-site +1

$118K - $141.60K/yr

Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and ... In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set ...

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Manager Databricks Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do manager databricks data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for manager 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 the difference between Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

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 Manager Databricks Data Engineer jobs in Chicago, IL? For Manager Databricks Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:
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Manager Databricks Data Engineer jobs near you
Solutions Engineer

Solutions Engineer

Databricks

Chicago, IL • On-site

$121.40K - $167K/yr

Full-time

Posted 26 days ago

Job description

FEQ327R95
Solutions Engineer
At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes data science and analytics accessible to all. This role is part of our programmatic effort to develop promising field engineers-offering a launchpad for the next generation of data leaders We aim to build leaders who will empower our customers to make informed decisions that propel their businesses forward. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You'll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. Not just telling them what's possible, but building working prototypes and demos that prove it. You'll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data-and shape your future while you're at it!
This will be an in-office role and candidates must be based in our Chicago, IL office. Relocation assistance will not be provided.
Recent graduate?: We'd love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates.
The impact you will have:
  • Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
  • Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks Lakehouse platform.
  • Adopt a builder-first approach: move quickly from customer problem to working prototype by writing code, building demos, and creating reusable assets that accelerate customer outcomes. Use AI tools to increase your productivity and drive innovation.
  • Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
  • Grow your knowledge and expertise to the level of a technical and/or industry specialist.
What we look for:
  • The ideal candidate has 2+ years of technical experience in a customer-facing solutions engineering role.
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience
  • Demonstrates a builder mindset: preference for hands-on prototyping and learning-by-doing, with comfort using AI-assisted development tools to move faster
  • Hands-on experience with Python, Java, or Scala, and proficiency in SQLExperience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus
  • Aptitude to interact with customers confidently and professionally
  • Can meet expectations for technical training and role-specific outcomes within 6 months of hire

More About Databricks
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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 base 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 anticipated 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 1 Pay Range
$121,400-$167,000 USD
Zone 2 Pay Range
$121,400-$167,000 USD
Zone 3 Pay Range
$121,400-$167,000 USD
Zone 4 Pay Range
$121,400-$167,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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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