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Solutions Engineer

Databricks · Chicago, Illinois · On Site · Active · $121,400–$167,000 / year · Greenhouse

Job facts

FieldValue
CompanyDatabricks
TitleSolutions Engineer
Normalized title-
Department / teamField Engineering - FE Direct Emerging
LocationChicago, IL, United States
Work modelOn Site
Employment type-
Salary$121,400–$167,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-04 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Databricks.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Chicago.Open
Department jobsActive postings in Field Engineering - FE Direct Emerging.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyDatabricks
Sourcee76d888a-29e0-42cd-bf7d-e9482c0e5b5f
ATS providerGreenhouse

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 YouTube 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 . Benefits At 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.

Full job record

Job IDa3ac60da9f9c8e8235792a576c5d64a2bfb231eb
Org ID35d19e0b-26e9-43f3-ace9-4c7841dbe8ae
Source IDe76d888a-29e0-42cd-bf7d-e9482c0e5b5f
Board IDe76d888a-29e0-42cd-bf7d-e9482c0e5b5f
Providergreenhouse
Provider Job Key8359542002
TitleSolutions Engineer
Normalized Title
Statusactive
Activeyes
Location TextChicago, Illinois
DepartmentField Engineering - FE Direct Emerging
Team
Employment Type
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionIL
CityChicago
Salary RawPay Range $121,400 — $167,000 USD Zone 2 Pay Range $121,400 — $167,000 USD Zone 3 Pay
Salary Min121,400
Salary Max167,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://databricks.com/company/careers/open-positions/job?gh_jid=8359542002
Apply URLhttps://databricks.com/company/careers/open-positions/job?gh_jid=8359542002
First Seen At2026-05-29 22:42:59Z
Last Seen At2026-06-06 07:35:41Z
Last Checked At2026-06-06 07:35:41Z
Last Changed At2026-05-29 22:42:59Z
Inactive At
Source Posted At2026-05-04 21:59:40Z
Source Updated At2026-05-04 22:02:33Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=databricks/date=2026-06-06/2026-06-06T07-35-40-531Z-fb10084c965d4be1acb89ee334f202053cf0441b79f8cd34184484b9ba265f24.json
Event Fields
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Parsed Structured
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  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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  "first_published": "2026-05-04T17:59:40-04:00",
  "application_deadline": null
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