<?xml version="1.0" encoding="UTF-8"?>
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  <jobs>
    <job>
      <externalid>089e27b0-40a</externalid>
      <Title>Backend Engineer</Title>
      <Description><![CDATA[<p>We&#39;re looking for a skilled Backend Engineer to join our Data Infrastructure engineering organisation. As a member of this team, you will play a key role in helping us build analytics for internal and music industry-facing tools. Our platform enables capabilities such as showing artists how many streams their latest release has to informing internal teams about their cloud resource usage.</p>
<p>As a Backend Engineer, you will help us exemplify, measure and raise the reliability of data infrastructure of squads across different verticals within Spotify. You&#39;ll work closely with engineers to provide OLAP capabilities to build dynamic, reliable data visualizations and share responsibility with them in diagnosing, resolving, and preventing production issues.</p>
<p>Key responsibilities include:</p>
<ul>
<li>Building, operating, and evolving data analytics platforms that include backend services as well as OLAP data stores (Druid) for teams building analytics across Spotify.</li>
<li>Building internal tooling, libraries, and services that streamline integration patterns with our analytics platform.</li>
<li>Advocating for best practices in service design, data modeling, schema evolution, and contract testing to ensure long-term maintainability.</li>
<li>Working in an autonomous, multi-functional environment and collaborating with squads across Spotify to continuously iterate and deliver on new product objectives.</li>
</ul>
<p>To succeed in this role, you will need:</p>
<ul>
<li>3+ years of relevant experience with distributed datastores and backend services.</li>
<li>Proficiency in Java and a willingness to learn Kubernetes and Terraform.</li>
<li>Understanding of data modeling, dimensional schemas, and analytical query patterns.</li>
<li>Experience building internal developer tools, libraries, or shared services that support large engineering organisations.</li>
<li>A strong sense of ownership of service quality, SLOs, and operational excellence.</li>
<li>Familiarity with OLAP databases or analytics warehouses (e.g., Druid, ClickHouse, Pinot, BigQuery, Snowflake).</li>
<li>Comfort with metrics-driven development and observability stacks (Prometheus, Grafana, similar).</li>
<li>Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams.</li>
</ul>
<p>In return, we offer a competitive salary range of $125,562-$179,374, plus equity, as well as a comprehensive benefits package including health insurance, six months&#39; paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave.</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>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$125,562-$179,374</Salaryrange>
      <Skills>Java, Kubernetes, Terraform, OLAP databases, Analytics warehouses, Metrics-driven development, Observability stacks</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Spotify</Employername>
      <Employerlogo>https://logos.yubhub.co/spotify.com.png</Employerlogo>
      <Employerdescription>Spotify is a music streaming service with millions of users worldwide.</Employerdescription>
      <Employerwebsite>https://www.spotify.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/spotify/66492688-d5b0-4cf8-b1a4-4a715157edd9</Applyto>
      <Location>NYC</Location>
      <Country></Country>
      <Postedate>2026-03-31</Postedate>
    </job>
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</source>