Analytics Engineer, Quality Analytics

<div class="content-intro"><p>Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.</p></div><p><span data-contrast="none">As a <strong>Data Engineer </strong>for Quality Analytics, you are a technical problem-solver who bridges the gap between our raw data systems and critical manufacturing business insights. You will work within existing business systems </span><span data-contrast="none">(ERP, MES, Inventory Management, Warehouse Management, Quality Incident management system and QMS systems)</span><span data-contrast="none"> to build, maintain, and improve the data analysis models and pipelines that power our quality analytics. This role combines data pipeline development with deep-dive investigation into data quality as it relates to manufacturing quality. You will be responsible for not just building the data infrastructure, but also for troubleshooting sources of variance in the data and implementing technical solutions to improve data quality at its core. If you love solving complex data puzzles that have a direct impact on real-world manufacturing quality, this role is for you.</span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <p><strong><span data-contrast="none">WHAT YOU’LL DO</span></strong><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="9" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Support Maintain Data Analytics:</span></strong><span data-contrast="none"> Support basic analytics and investigation utilizing existing tools and capabilities. Direct users to utilize analytic dashboards, troubleshoot existing dashboard accuracy, and provide modification improvements to increase dashboard effectiveness.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Investigate Data Quality:</span></strong><span data-contrast="none"> Act as a lead technical investigator for data quality issues. When a dashboard is inaccurate or data seems wrong, you will perform deep-dive analysis using SQL and Python to trace the problem back to its source and identify the root cause.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Troubleshoot Optimize:</span></strong><span data-contrast="none"> Support the analytics team by troubleshooting data access issues, improving pipeline performance for faster dashboard loads, and ensuring the overall health and reliability of the quality data ecosystem in Foundry.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="9" data-list-defn-p ... (truncated, view full listing at source)