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Solutions Engineer

Join Databricks as a Solutions Engineer to build prototypes and advise customers on data challenges in a collaborative team.

Location
Chicago, Illinois, United States
Compensation
Not disclosed
Level
junior
Type
full time · On-site

Posted by employer 10 hours ago

First seen on Joblaze 1 hour ago

Last verified on the company career page 1 hour ago

Skills & Technologies

What you'll build

  • Form successful relationships with customers
  • Develop into a champion and trusted advisor
  • Move quickly from customer problem to working prototype
  • Author reference architectures and demo applications
  • Lead workshops and seminars

Must have

  • 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
  • Hands-on experience with Python, Java, or Scala
  • Proficiency in SQL

Nice to have

  • Experience with Big Data technologies like Spark, Hadoop, Kafka

Practical constraints

  • This will be an in-office role
  • Candidates must be based in Chicago, IL
  • Relocation assistance will not be provided

AI in the day-to-day

Use AI tools to increase your productivity and drive innovation.

Requirements

Experience
2+ years
Education
Bachelor's degree
Visa
No sponsorship (stated in posting)

Not disclosed in this posting: compensation.

Joblaze summary

In the role of Solutions Engineer at Databricks, the individual will engage directly with customers to address their data challenges by developing prototypes and providing technical guidance on the Databricks platform. Key skills include proficiency in programming languages such as Python, Java, or Scala, along with experience in Big Data technologies. This position is ideal for candidates with at least two years of technical experience in a customer-facing role, particularly those who thrive in hands-on, innovative environments. The team emphasizes collaboration and a customer-first approach, fostering a culture of continuous learning and improvement.

Joblaze insights

  • Listed today — first seen on Joblaze October 16, 2026. Last confirmed on Databricks's careers page October 16, 2026.
  • This exact title is also open at 1 other location at Databricks: New York City, New York.
  • Python appears in 59.4% of 32 comparable junior ai/ml roles in United States; Scala appears in 3.1% of 32 comparable junior ai/ml roles in United States.

Quick facts

Is the Solutions Engineer role remote?
No — this is an on-site role in Chicago, Illinois, United States.
How much experience is required?
At least 2 years of relevant experience for this Solutions Engineer role.
Where is the role based?
Databricks is hiring for this position in Chicago, Illinois, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: Hadoop, Java, Kafka, Python, SQL, Scala.
What seniority level is this role?
Databricks targets junior candidates for this position.
Is this full-time or contract?
Full-time for this Solutions Engineer role at Databricks.

From the original posting

FEQ128R31

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 AI and data analytics accessible to everyone in their own context. 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 drive both data and business strategy for our customers, leading the front lines of Databricks growth as well.

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. Solutions engineers go further than telling them what's possible; they build working prototypes and advise customer teams on how to get to production. 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 Chicago, IL. 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.

More About Databricks

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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 AI and 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 data and AI 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 SQL
  • Experience 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

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

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