- Own your slice of the data lifecycle (ingestion → curated layers → production-ready outputs), including medallion-style patterns and schema contracts, within guidance from senior engineers and platform conventions.
- Practice test-driven habits for data: clarify correctness for the datasets you touch; add automated checks and regression coverage where it matters; turn bugs and incidents into fixes that stick.
- Work in an agent-native style: use AI coding agents to move faster on investigation, SQL iteration, and refactors — paired with review, reproducible steps, and proof (tests, queries, invariants) before production.
- Contribute to reusable patterns and tooling so the team can discover schemas, draft transforms, generate SQL faster, and troubleshoot with less one-off work.
- Operate what you build: monitoring and alerting as appropriate, participating in incidents for your areas, executing backfills, and following through so issues do not repeat.
- Reduce local complexity: simplify where you can, remove redundancy, and prefer shared approaches when they clearly reduce risk.
- Partner with product, science, and platform teammates to clarify requirements, flag tradeoffs early, and deliver work that holds up beyond the first customer.
- Degree in Computer Science, Mathematics, Statistics, or another data-intensive discipline (or equivalent practical experience).
- 4+ years of professional development experience with strong hands-on SQL and Python in production (Spark or equivalent large-scale batch processing preferred; Scala/Flink/Beam a plus).
- 3+ years in data work (structured and semi-structured), modern warehouses/lakehouses, and practical schema design in evolving domains — with hands-on experience in lakehouse/warehouse patterns, incremental processing, and basic performance/cost awareness.
- Notebook fluency and the judgment to structure notebook work so it is reviewable and promotable.
- Agent-native fluency with verification: you treat generated SQL/pipelines as proposals until proven.
- Ownership mindset: you debug methodically, drive work to completion, connect your work to customer outcomes, and leave the codebase better than you found it.
- Clear communication and collaboration; you can drive a feature or multi-step project in your domain, seek input on design, and incorporate feedback.
- A plus if you have experience in supply chain, planning, or fulfillment domains.
Top Skills
What We Do
About Auger Auger is a pioneering venture to build the world's first true end-to-end supply chain operating system. Founded and led by Dave Clark, former CEO of the Amazon Consumer Business and backed by an initial $100M from Oak HC/FT, Auger is building a future where global supply chains operate with the simplicity of today’s most intuitive consumer technologies. Revolutionizing global supply chains with an AI-powered OS unifying data for seamless, real-time insights, and powerful automation. Our Solution Auger is creating a new solution for companies seeking better options. Auger’s core strength lies in its deep AI-powered automation, paired with a consumer-grade user experience. This combination allows operators to handle complex tasks through simple, familiar tools. Need real-time inventory insights for next week’s shipment? Just ask. Actionable data appears instantly, enabling swift decisions—no complex queries or training required. Why We’re Different Traditional supply chain management is fragmented, relying on incompatible systems and inefficient workarounds. Many companies are stuck with “Franken-software”—patched-together solutions that fail to communicate effectively. Auger is different. We integrate deeply with existing systems, use AI to automate routine processes, and deliver a cohesive user experience that feels intuitive and natural, letting your team focus on what matters: driving growth, innovation, and sustainability. A Human-Centered Approach Broken supply chains don’t just impact businesses—they affect people. Delays mean products don’t reach shelves, miscommunications lead to overtime and burnout, and inefficiencies drive up costs and contribute to a growing carbon footprint. We believe supply chain problems are human problems, and we’re here to solve them. At Auger, we’re on a mission to make global supply chains more efficient, more sustainable, and ultimately, better for everyone.
