<div class="content-intro"><p><span style="font-size: 10pt;">Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (<a class="c-link c-link--focus-visible" href="http://monks.com/careers" target="_blank" data-stringify-link="http://monks.com/careers" data-sk="tooltip_parent">monks.com/careers</a>).</span></p></div><h1 data-path-to-node="0">Data Engineer</h1> <h2 data-path-to-node="1">About the Role</h2> <p data-path-to-node="2">We are seeking a capable, detail-minded <strong data-path-to-node="2" data-index-in-node="40">Data Engineer with a strong DataOps focus</strong> to join our team. In this role, you will be embedded at Monks, serving as a critical delivery partner dedicated to supporting one of our most prestigious, high-profile global client accounts in Cupertino, CA.</p> <p data-path-to-node="3">You will build, scale, and maintain the core data pipelines that deliver trusted sell-through, actuals, and strategic business data to global Sales & Finance leadership. Beyond building your own pipelines, you will play a crucial role in hardening, monitoring, and troubleshooting the team's shared pipeline estate—ensuring high reliability, data quality, and platform performance across production.<br><br><strong data-path-to-node="4,0" data-index-in-node="0">Note on Location & Structure:</strong> This is a contract role based out of <strong data-path-to-node="4,0" data-index-in-node="67">Cupertino, CA</strong>, with a hybrid schedule requiring you to be on-site <strong data-path-to-node="4,0" data-index-in-node="133">3 days per week</strong> (Tuesday – Thursday).</p> <h2 data-path-to-node="6">About You</h2> <h3 data-path-to-node="7">The Skills & Toolkit You’ll Bring:</h3> <ul data-path-to-node="8"> <li> <p data-path-to-node="8,0,0"><strong data-path-to-node="8,0,0" data-index-in-node="0">5+ years of Data Engineering experience</strong> (or Software Engineering with a strong data focus) accompanied by expert-level <strong data-path-to-node="8,0,0" data-index-in-node="119">SQL</strong>.</p> </li> <li> <p data-path-to-node="8,1,0"><strong data-path-to-node="8,1,0" data-index-in-node="0">Core Tech Stack:</strong> Advanced proficiency in <strong data-path-to-node="8,1,0" data-index-in-node="41">Python</strong> (Java or Scala is a plus), paired with hands-on experience using <strong data-path-to-node="8,1,0" data-index-in-node="113">Airflow, Spark, Trino/Dremio, Apache Iceberg, Kafka, and Docker</strong>.</p> </li> <li> <p data-path-to-node="8,2,0"><strong data-path-to-node="8,2,0" data-index-in-node="0">DataOps & Lakehouse Expertise:</strong> Experience with lakehouse architectures, query engines, Apache Iceberg maintenance (compaction, snapshot management), and platform upgrade/migration workflows.</p> </li> <li> <p data-path-to-node="8,3,0"><strong data-path-to-node="8,3,0" data-index-in-node="0">Production Pipeline Management:</strong> Proven track record designing, deploying, and maintaining custom ETL/ELT pipelines and enterprise data warehouse solutions using version control (<strong data-path-to-node="8,3,0" data-index-in-node="178">Git</strong>) and <strong data-path-to-node="8,3,0" data-index-in-node="187">CI/CD</strong> pipelines.</p> </li> <li> <p data-path-to-node="8,4,0"><strong data-path-to-node="8,4,0" data-index-in-node="0">Data Domain Context:</strong> Prior experience working with Sales, Finance, or supply chain data domains (e.g., actuals, sell-through, forecasting) is highly preferred.</p> </li> </ul> <h3 data-path-to-node="9">The Mindset We’re Looking For:</h3> <ul data-path-to-node="10"> <li> <p data-path-to-node="10,0,0"><strong data-path-to-node="10,0,0" data-index-in-node="0">Root-Cause Investigator:</strong> You don't just apply quick patches—you independently troubleshoot shared production issues, trace anomalies back to their upstream source, and implement durable, long-term fixes.</p> </li> <li> <p data-path-to-node="10,1,0"><strong data-path-to-node="10,1,0" data-index-in-node="0">Operational Discipline:</strong> You hold high standards for software lifecycle best practices, rigorous separation of dev and prod environments, careful change management, and comprehensive documentation.</p> </li> <li> <p data-path-to-node="10,2,0"><strong data-path-to-node="10,2,0" data-index-in-node="0">Platform Ownership:</strong> You take pride in data quality and system reliability across the entire team's pipeline estate, not just the code you personally authored.</p> </li> <li> <p data-path-to-node="10,3,0"><strong data-path-to-node="10,3,0" data-index-in-node="0">Autonomous & Adaptable:</strong> Comfortable stepping into ambiguous technical challenges, navigating complex data environments, and driving solutions to completion with minimal oversight.</p> </li> </ul> <h2 data-path-to-node="12">The Day-to-Day (Your Impact)</h2> <h3 data-path-to-node="13">Hands-On Data Engineering</h3> <ul data-path-to-node="14"> <li> <p data-p