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  <jobs>
    <job>
      <externalid>ba30b234-c68</externalid>
      <Title>Senior Data Engineer, Payments</Title>
      <Description><![CDATA[<p>We&#39;re looking for a Senior Data Engineer to join our Payments team. As a critical part of our operations, you&#39;ll handle data related to compliance with Tax, Payments, and Legal regulations. You&#39;ll design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.</p>
<p>Your work will involve developing data models that enable the efficient analysis and manipulation of data for merchandising optimization, ensuring data quality, consistency, and accuracy. You&#39;ll also develop high-quality data assets for product use-cases by partnering with Product, AI/ML, and Data Science teams.</p>
<p>As a Senior Data Engineer, you&#39;ll contribute to creating standards and best practices for Airbnb&#39;s Data Engineering and shape the tools, processes, and standards used by the broader data community. You&#39;ll collaborate with cross-functional teams to define data requirements and deliver data solutions that drive merchandising and sales improvements.</p>
<p>To succeed in this role, you&#39;ll need 6+ years of relevant industry experience, a BE/B.Tech in Computer Science or a relevant technical degree, and hands-on experience in DSA coding, data structure, and algorithm. You&#39;ll also need extensive experience designing, building, and operating robust distributed data platforms and handling data at the petabyte scale.</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>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Scala, Python, data processing technologies, query authoring (SQL), ETL schedulers (Apache Airflow, Luigi, Oozie, AWS Glue), data warehousing concepts, relational databases (PostgreSQL, MySQL), columnar databases (Redshift, BigQuery, HBase, ClickHouse)</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Airbnb</Employername>
      <Employerlogo>https://logos.yubhub.co/airbnb.com.png</Employerlogo>
      <Employerdescription>Airbnb is a global online marketplace for short-term vacation rentals, with over 5 million hosts and 2 billion guest arrivals.</Employerdescription>
      <Employerwebsite>https://www.airbnb.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/airbnb/jobs/7256787</Applyto>
      <Location>Bangalore, India</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>746bbee5-bd0</externalid>
      <Title>Senior Staff Data Engineer, Marketplaces DNA</Title>
      <Description><![CDATA[<p>Job Title: Senior Staff Data Engineer, Marketplaces DNA</p>
<p>Location: United States</p>
<p>Department: Software Engineering</p>
<p>Job Description:</p>
<p>Airbnb is seeking a Senior Staff Data Engineer to join its Marketplaces Data and AI team. As a key member of this team, you will be responsible for developing and maintaining high-performance data systems that support Airbnb&#39;s Guest and Host products.</p>
<p>The Community You Will Join:</p>
<p>Marketplaces Data and AI is a group of passionate machine learning, software, data, and analytics engineers. We are responsible for developing new, cutting-edge AI and data products that leverage Airbnb&#39;s massive datasets across Users, Listings, Pricing, and Supply/Demand.</p>
<p>Responsibilities:</p>
<ul>
<li>Develop and automate large-scale, high-performance batch and streaming data processing systems to power Airbnb&#39;s Guest and Host products, machine learning models, and business insights.</li>
<li>Partner closely with infra teams to improve scalability, data governance, and efficiency.</li>
<li>Evangelize high-quality software engineering practices towards building data infrastructure and pipelines at scale, collaborate with infrastructure teams to streamline best practices.</li>
<li>Advocate for high bars for data and engineering quality ensure eng deliverables are reliable, efficient, well-documented, testable, &amp; maintainable.</li>
<li>Design our data models for optimal storage and understanding, with thoughtful dataflows to power critical product and business requirements.</li>
</ul>
<p>A Typical Day:</p>
<p>We are in the middle of tremendous growth and transformation in the data domain, with significant investments into intelligent products powered by Machine Learning. We are seeking product-oriented Senior Staff Data Engineers to drive entity models across Users, Listings, and Marketplace and product initiatives across Quality, Merchandising, and Supply growth.</p>
<p>Your Expertise:</p>
<ul>
<li>12+ years of relevant industry experience with a Bachelor&#39;s and/or Master&#39;s degree in CS/EE, or equivalent experience, or 9+ years of experience with a PhD.</li>
<li>Experience collaborating with client, backend, ML, analytics teams, product, and business partners.</li>
<li>Experience designing and deploying high-performance systems with reliable monitoring and logging practices.</li>
<li>Effectively work across team boundaries to establish overarching data architecture, data flow, and provide guidance to individual teams.</li>
<li>Strong knowledge of relational databases and query authoring (SQL).</li>
<li>Strong expertise with Java/Scala/Spark and operating on data at the petabyte scale.</li>
<li>Excellent communication skills, both written and verbal.</li>
</ul>
<p>Benefits:</p>
<ul>
<li>Competitive salary range: $244,000-$305,000 USD.</li>
<li>Bonus, equity, benefits, and Employee Travel Credits.</li>
</ul>
<p>Note: This role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.</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>senior</Experiencelevel>
      <Workarrangement>remote</Workarrangement>
      <Salaryrange>$244,000-$305,000 USD</Salaryrange>
      <Skills>data engineering, Java, Scala, Spark, relational databases, query authoring, SQL, machine learning, data science, data analysis</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Airbnb</Employername>
      <Employerlogo>https://logos.yubhub.co/airbnb.com.png</Employerlogo>
      <Employerdescription>Airbnb is a global online marketplace for short-term vacation rentals. It was founded in 2007 and has since grown to become one of the largest vacation rental platforms in the world.</Employerdescription>
      <Employerwebsite>https://www.airbnb.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/airbnb/jobs/7463663</Applyto>
      <Location>United States</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>