About the role
GAQ227R211
Mission
As a University Recruiter (Contract), you will be an integral part of the early career intern and interview experience. You will focus on supporting interns through our summer intern program as well as full cycle recruiting for technical roles in the fall. We’re looking for someone who’s excited to build upon our early-in-career programs and find the best ways to recruit and support a diverse group of early career candidates.
The impact you will have:
- Experience working 1:1 with interns, coaching and supporting through the summer program
- Full-cycle recruiting from source to close for technical intern and new grad candidates
- Partner with leaders to assist with team matching and allocation
- Manage high volume while maintaining excellent candidate experience and data integrity
What we look for
- A track record of sourcing, screening, and closing technical candidates while providing top-tier candidate experience
- Experience with program and/or event management
- A focus on efficient and effective recruiting processes that support a diverse candidate pool
- Availability to be in-person for events [EMEA]
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.
Aplyr's read
Databricks is a hub for data-driven innovation, attracting talent in AI and big data to transform how organizations leverage data for strategic decisions.
What's promising
- •Databricks offers a cutting-edge platform integrating data science, engineering, and business analytics.
- •The company is a leader in big data and AI, driving significant industry advancements.
- •Strong emphasis on collaboration attracts top-tier talent in data analytics and AI fields.
What to watch
- •High competition in cloud data analytics could impact market share.
- •Rapid scaling may strain internal resources and affect company culture.
- •Dependence on cloud infrastructure partners presents potential operational risks.
Why Databricks
- •Databricks' Lakehouse architecture uniquely combines data lakes and warehouses.
- •Focus on AI efficiency and optimization differentiates its research initiatives.
- •Collaborative workspace design fosters innovation across diverse data teams.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Databricks
Databricks is a unified data analytics platform that accelerates innovation by unifying data science, engineering, and business. It provides a collaborative workspace for data teams to work with big data and AI, enabling organizations to make data-driven decisions.
