University Recruiter (Contract)

Databricks•San Francisco, California• Internship

Posted 1 hour ago• People & HR• Product/Design

Compensation

$50.00–$60.00/hour

Job Description

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
Plan & host university recruiting events
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 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 June-December, 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 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.