Sr. Data Engineer

Senior Data EngineerBuild the data foundation that powers Auger's Supply Chain OS, AI systems, and execution workflows. Auger is building an operating system for supply chain teams. Our customers rely on Auger to understand reality and change it: reporting, AI-powered decision support, and write-back execution systems that operate at scale. At the core of this system is Data Engineering. This role sets direction for and owns the evolution of the transformation of messy, customer-shared data into a unified, production-grade ontology that directly powers analytics, AI workflows, and execution systems. This is not a "move data from A to B" role. This is system-level semantic ownership at the heart of the product.As a Senior Data Engineer, you will leverage new and existing customer data sources ingested into Auger's core data lake and transform them into our ontology. We're seeking teammates who love data of all kinds, are masters of building efficient, scalable, operable and durable data systems, and are ready to take hands-on ownership beyond individual pipelines in the following areas:Own and evolve the data lifecycle across systems, from ingestion through production-ready ontologyIngest data from databases, data streams, batch files, and incremental feedsDefine standards for and operate medallion-style lakehouse pipelines (bronze ? silver ? gold)Transform raw inputs into a consistent digital twin of supply chain reality that scales across customersServe high-quality data to analytics, AI workflows, and write-back systems with clear correctness guaranteesOwn data correctness and reliability in production, including monitoring, on-call, incident response, and post-incident systemic improvementsDefine and enforce data quality checks, validations, and robust backfill strategiesUse AI-assisted tools responsibly, setting expectations for review, validation, and production readiness of generated codeReduce complexity at scale by simplifying pipelines, eliminating redundancy, and automating recurring workflowsPartner with product, science, and platform tooling teams to translate ambiguous needs into durable technical designsWhat You Bring:Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience5+ years demonstrated development experience using technologies like Python, SQL, Scala, Spark, Flink, and Beam5+ years demonstrated experience in data management (structured and unstructured) and modern database technologiesProven experience owning and evolving large-scale production data systems in distributed environmentsHands-on experience designing and operating lakehouse or warehouse architectures at scaleStrong schema design skills and deep intuition for data modeling in complex domainsA production mindset—you've owned critical systems, led incident resolution, and driven long-term fixesExperience supporting AI/ML or AI-powered products where data quality directly impacts outcomesFamiliarity with streaming or incremental processing at scaleExperience defining data quality, observability, anomaly detection, or reliability standardsA deep curiosity and eagerness to problem solve in ambiguous, high-impact problem spaces without a playbookAbility to lead through ambiguity with urgency, patience, and good judgment while raising the bar for othersStrong communication and collaboration skillsA plus if you have prior experience in the supply chain domain