<p><strong>Mid-Level Data Engineer (On-Site | Los Angeles, CA)</strong></p><p><em>Build systems that actually drive business decisions.</em></p><p><br></p><p>This is not a “maintain the pipeline and go home” kind of role.</p><p><br></p><p>We’re looking for a sharp, early-career Data Engineer who wants to operate close to the business, own meaningful projects end-to-end, and build systems that directly impact how decisions get made across an entire organization. You’ll join a small, high-performing team where your work won’t get buried—it will be seen, used, and relied on daily.</p><p><br></p><p>If you’re someone who enjoys solving messy problems, building from scratch, and working in a fast-paced, high-expectation environment, this is the kind of role where you’ll grow quickly.</p><p><br></p><p>What You’ll Do</p><ul><li>Design and build automated data systems (e.g., billing workflows, internal tools)</li><li>Create and maintain BI dashboards and reports using Python, Excel, and visualization tools</li><li>Write and optimize SQL queries and ETL pipelines for clean, reliable data flow</li><li>Analyze large datasets to uncover actionable insights and trends</li><li>Partner with stakeholders across the business to translate needs into technical solutions</li><li>Help improve data accessibility and usability across departments</li><li>Ensure data integrity and accuracy through audits and troubleshooting</li><li>Contribute to a growing data function with high visibility and ownership</li></ul><p>Why This Role Stands Out</p><ul><li>High ownership: You’ll build systems from the ground up, not just maintain them</li><li>Small team, big impact: Work directly with senior leadership and decision-makers</li><li>Growth opportunity: The team is expanding—this role can evolve quickly</li><li>Flexibility within intensity: While this is a high-performance environment, there’s trust and flexibility when needed</li></ul>

<p>•What You Bring</p><ul><li>1–5 years of experience in data engineering, analytics, or similar</li><li>Strong proficiency in Python and SQL</li><li>Experience working with cloud platforms (AWS, Azure, or similar)</li><li>Exposure to AI tools (e.g., Claude or similar) and interest in leveraging them</li><li>A strong mathematical or analytical mindset</li><li>Ability to communicate technical concepts clearly to non-technical audiences</li><li>Bachelor’s degree in Computer Science, Engineering, Math, or related field</li><li>Ability to work 55+ hours per week on-site</li></ul><p>Nice to Have</p><ul><li>Experience with Power BI, Tableau, or similar tools</li><li>Familiarity with Snowflake or modern data warehouses</li><li>Exposure to automation tools (Power Automate, SharePoint, etc.)</li><li>Background in financial or accounting data</li></ul><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIN</p>

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