About the Team & Role

Build 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.
This role is data-centric software engineering at a very high bar: you own substantial parts of the transformation layer that turns messy, customer-shared data into a unified, production-grade ontology powering analytics, AI workflows, and execution systems.
This is not a “move data from A to B” role. You are expected to own semantic correctness, operability, and durability for the systems you touch—while working within platform standards and influencing improvements across the team.

What You’ll Do

As a Principal Software Development Engineer, you bring a strong data engineering background. You will lead hands-on execution while raising the bar for how we build, validate, and operate data systems. You will troubleshoot and resolve issues across the current data platform and codebase, including complex notebook-driven pipelines and SQL-heavy transformations.

Own the evolution of the data lifecycle from ingestion through production-ready ontology, including standards for medallion-style lakehouse pipelines, schema contracts, and clear promotion paths from development to production.
Practice test-driven engineering for data: define what "correct" means for critical datasets, encode that in tests and checks, and use failures to drive fixes and systemic improvements—not one-off patches.
Shape technical direction for the data platform: boundaries between layers, evolution strategies, and correctness guarantees downstream systems can rely on.
Drive pragmatic data governance engineers will adopt: producer/consumer contracts, schema evolution norms, ownership expectations.
Represent data engineering in architecture and design discussions; make tradeoffs explicit among freshness, cost, complexity, and risk, and document decisions others can execute.
Institutionalize observability and reliability engineering for data: SLIs/SLOs where appropriate, monitoring, incident response, post-incident learning, backfill/replay strategy, and elimination of recurring failure modes.
Design and implement reusable, agentic frameworks across heterogeneous customer data sources so the team can rapidly discover schemas and semantics, draft transformation logic, generate and iterate on SQL, and run end-to-end troubleshooting workflows in a consistent, auditable way.
Mentor engineers on AI-native discipline and operational rigor, and set expectations for quality bars on AI-assisted output.
Partner across product, science, and data-tools platform to translate ambiguous needs into durable designs—aligning semantics, delivery, and operability with what customers experience in the product.

What You Bring

Degree in Computer Science, Mathematics, Statistics, or another data-intensive discipline, with substantive principal-level engineering experience.
10+ years of professional development experience, including 8+ years hands-on across SQL and Python (strong familiarity with at least one large-scale batch engine such as Spark; Scala/Flink/Beam a plus).
8+ years in data management (structured and semi-structured), modern warehouses/lakehouses, and schema design in complex domains — with proven production ownership at scale: on-call, incidents, lakehouse architecture, ETL hardening, and long-term reliability improvements.
Agent-native fluency: AI-assisted development for data work with rigorous validation — you know when generated SQL or pipelines are wrong and how to prove they are right.
Experience defining data quality, observability, anomaly detection, or reliability standards and getting teams to adopt them.
Technical leadership: lead through ambiguity, set direction for frameworks and conventions, mentor others, and communicate clearly with technical and non-technical partners — including crisp written technical strategy when stakes are high.
A plus if you have prior experience in supply chain, planning, or fulfillment domains.

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.

Industry

IT & Software

Company Size

51-200 employees

Headquarters

Bellevue, WA

Year Founded

Unknown

Website

auger.com

Social Media