mudflap · Palo Alto, CA
Skills: Python, SQL
At Mudflap, we're modernizing the $1 trillion trucking industry, the backbone of the U.S. economy. By helping over 100,000 underserved small businesses save over $1.5 billion on fuel, Mudflap has quickly grown into a profitable fintech platform that processes billions in annual payment volume. We are building the data foundation that powers smarter, faster decisions across the business. As a Staff Data Engineer, Tech Lead, you’ll play a mission-critical role in designing, scaling, and governing our modern, cloud-based data platform — and in leading the team and the projects that deliver it. Your expertise in data ingestion, data architecture, schema design, and governance will help shape how data flows across our systems and is leveraged by teams company-wide. This is a unique opportunity to set standards, drive technical direction, and ensure the quality, consistency, and scalability of the data platform that hundreds of thousands of SMB trucking companies rely on - and love - to run their businesses every day. You’ll lead projects end to end, working directly with product leaders and business leaders across Operations, Finance, and Risk, etc. to turn their needs into clear technical requirements. You’ll partner with engineering leadership on how the team plans and operates, work alongside staff engineering leadership to drive alignment across the organization, and set our direction on how AI and agentic workflows reshape data engineering. It’s an ideal role for someone looking to grow their leadership scope while staying deeply technical. Work Location: This role is based in Palo Alto and involves a hybrid work approach, balancing in-office collaboration with the ability to work remotely. To support our team, we offer: - Commuter benefits to ease your travel - Lunches and snacks to keep you fueled - A collaborative, high-growth environment where you’ll work closely with talented teammates across the company Expectations (In this role, you will): - Act as the overa…
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