Synced from Greenhouse · Aug 28

University Recruiter

DatabricksRemote - CaliforniaPosted Aug 28, 2026
RecruiterRemoteMid
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Other open Databricks roles
Aug 28
Posted
Greenhouse
Applicant system
Job descriptionReq 7295190002

REQ P-1075

This role is remote-friendly, candidates from any remote U.S. location are welcome to apply.

As a University Recruiter (Contract), you will be an integral part of the early career hiring process. You will focus on supporting Engineering hiring teams & leaders through the intern program, full cycle recruiting, and recruiting events & programs.

The impact you will have:

  • Advise and partner with managers and directors in our Engineering organization
  • Full-cycle recruiting from source to close for technical intern and new grad candidates
  • Partner with UR Team to assist with team matching and allocation
  • Manage high volume while maintaining excellent candidate experience and data integrity

What we look for

  • Experience partnering with senior engineering leaders as a talent advisor
  • A track record of sourcing, screening, and closing early in career technical candidates while providing top-tier candidate experience
  • A focus on efficient and effective recruiting processes that support a high volume, diverse candidate pool
  • AI builder mindset: you're using AI for personal productivity and programs at scale - you're excited to work with the team to discover how we can improve!

This is an hourly contract role intended for September-February, though we retain the right to shorten or extend the contract at any time.

 

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 1 Pay Range
$50$60 USD
Zone 2 Pay Range
$40$55 USD
Zone 3 Pay Range
$35$50 USD
Zone 4 Pay Range
$30$45 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.

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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University Recruiter
Databricks · Remote - California
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