<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>92336246-cda</externalid>
      <Title>Candidate Experience Coordinator (6-month contract)</Title>
      <Description><![CDATA[<p>As a Candidate Experience Coordinator at Databricks, you&#39;ll be the engine that powers our recruiting efforts, scheduling interviews, and moving candidates through the pipeline. You&#39;ll partner with Recruiters, Sourcers, and hiring teams to deliver an exceptional interviewing experience.</p>
<p>Responsibilities:</p>
<ul>
<li>Build relationships and trust with the broader Talent Acquisition team, cross-functional partners, and hiring stakeholders</li>
<li>Coordinate high volumes of virtual and in-person interviews by navigating complex scheduling scenarios across multiple stakeholders</li>
<li>Serve as the primary point of contact for candidates, managing timely, professional, and friendly communication (written and verbal) to ensure candidates feel supported throughout their journey</li>
<li>Handle candidate travel arrangements and expenses for in-person interviewing</li>
<li>Executing other post-interviewing tasks such as scheduling debriefs and reference checks, and generating offer letters</li>
<li>Contribute to and identify data-driven improvements and ad hoc projects that enhance our recruitment processes and candidate experience programs</li>
</ul>
<p>What we&#39;re looking for:</p>
<ul>
<li>6+ months of Recruiting Coordination experience within the tech industry</li>
<li>Effective communication and prioritization skills</li>
<li>The ability to thrive in a fast-paced environment with evolving needs</li>
<li>Collaborative mindset and openness to feedback</li>
<li>Proactive approach to resolving ambiguous challenges</li>
<li>A track record of high accuracy and attention to detail</li>
<li>An interest in technology and artificial intelligence</li>
</ul>
<p>Pay Range Transparency</p>
<p>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.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>contract</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills></Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Databricks</Employername>
      <Employerlogo>https://logos.yubhub.co/databricks.com.png</Employerlogo>
      <Employerdescription>Databricks is a data and AI company that provides a data and AI platform to unify and democratize data, analytics, and AI.</Employerdescription>
      <Employerwebsite>https://databricks.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8453690002?utm_source=yubhub.co&amp;utm_medium=jobs_feed&amp;utm_campaign=apply</Applyto>
      <Location>Mountain View, California; San Francisco, California</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>