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University Recruiter (Contract)

Databricks · Remote - California · Remote · Active · $50–$60 · Greenhouse

Job facts

FieldValue
CompanyDatabricks
TitleUniversity Recruiter (Contract)
Normalized title-
Department / teamRecruiting
LocationSan Francisco, CA, United States
Work modelRemote / Remote
Employment type-
Salary$50–$60
Statusactive
ATS providerGreenhouse
Posted / first seen2024-03-21 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-04

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 San Francisco.Open
Department jobsActive postings in Recruiting.Open
Work model jobsActive Remote 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

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.

Full job record

Job ID0a8792aa1f66fab0eb9cf6b9493c39a615b38d5b
Org ID35d19e0b-26e9-43f3-ace9-4c7841dbe8ae
Source IDe76d888a-29e0-42cd-bf7d-e9482c0e5b5f
Board IDe76d888a-29e0-42cd-bf7d-e9482c0e5b5f
Providergreenhouse
Provider Job Key7295190002
TitleUniversity Recruiter (Contract)
Normalized Title
Statusactive
Activeyes
Location TextRemote - California
DepartmentRecruiting
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
CitySan Francisco
Salary RawPay Range $50 — $60 USD Zone 2 Pay Range $40 — $55 USD Zone 3 Pay Range $35 &mdas
Salary Min50
Salary Max60
Salary CurrencyUSD
Salary Period
Source URLhttps://databricks.com/company/careers/open-positions/job?gh_jid=7295190002
Apply URLhttps://databricks.com/company/careers/open-positions/job?gh_jid=7295190002
First Seen At2026-05-29 22:42:59Z
Last Seen At2026-06-04 11:19:06Z
Last Checked At2026-06-04 11:19:06Z
Last Changed At2026-05-29 22:42:59Z
Inactive At
Source Posted At2024-03-21 15:35:49Z
Source Updated At2026-05-15 23:18:48Z
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=greenhouse/board=databricks/date=2026-06-04/2026-06-04T11-19-05-156Z-809d5985c4fcc16fd5bf739a7272c2a65c33026c926909789d03f69b18f55338.json
Event Fields
{
  "content_hash": "20c335fcdf46887a5650758a44e5c7b77351dc31b979097ea0b846c0803a5b9d",
  "source_hash": "6050ace55322d35ad91da4351da54dcfc375534f7bda4a4aa5e2693cb675d24c",
  "last_changed_at": "2026-05-29T22:42:59.954Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "San Francisco, California",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.85
  },
  "salary_max": 60,
  "salary_min": 50,
  "inferred_at": "2026-06-04T11:19:06.701Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco, California",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.85
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "title": "University Recruiter (Contract)",
  "offices": [
    {
      "id": 4000514002,
      "name": "San Francisco, California",
      "location": "San Francisco, California",
      "child_ids": [],
      "parent_id": 4033534002
    }
  ],
  "language": "en",
  "location": {
    "name": "Remote - California"
  },
  "metadata": [
    {
      "id": 9740521002,
      "name": "Company Assignment",
      "value": "Databricks, Inc.",
      "value_type": "single_select"
    },
    {
      "id": 24059030002,
      "name": "Career Page Posting Category",
      "value": [
        "Recruiting"
      ],
      "value_type": "multi_select"
    }
  ],
  "updated_at": "2026-05-15T19:18:48-04:00",
  "departments": [
    {
      "id": 4001020002,
      "name": "Recruiting",
      "child_ids": [],
      "parent_id": 4001271002
    }
  ],
  "company_name": "Databricks",
  "requisition_id": 5862454002,
  "first_published": "2024-03-21T11:35:49-04:00",
  "application_deadline": null
}
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