Auger

Sr. Data Engineer

Posted 16 Days Ago

Bellevue, WA, USA

In-Office

225K-300K Annually

Senior level

Software

The Role

As a Senior Data Engineer at Auger, you will build data systems to transform customer data into a unified ontology for analytics and AI workflows, ensuring data quality and managing the data lifecycle.

Summary Generated by Built In

Build at Auger

Auger is the autonomous operating system for supply chains. It connects enterprise supply chain systems—ERP, WMS, TMS—into a single data layer, then uses AI to detect problems, evaluate trade-offs, and execute decisions automatically. The platform eliminates the coordination tax: the time and capital lost when disconnected systems force humans to become the integration layer between planning and execution. Actions that previously required days of meetings and manual coordination happen in seconds, within constraints the customer defines.

Founded by Dave Clark and backed by $100M from Oak HC/FT. Headquartered in Bellevue, Washington.

About the 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.

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.

What You’ll Do

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 ontology
Ingest data from databases, data streams, batch files, and incremental feeds
Define 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 customers
Serve high-quality data to analytics, AI workflows, and write-back systems with clear correctness guarantees
Own data correctness and reliability in production, including monitoring, on-call, incident response, and post-incident systemic improvements
Define and enforce data quality checks, validations, and robust backfill strategies
Use AI-assisted tools responsibly, setting expectations for review, validation, and production readiness of generated code
Reduce complexity at scale by simplifying pipelines, eliminating redundancy, and automating recurring workflows
Partner with product, science, and platform tooling teams to translate ambiguous needs into durable technical designs

What You Bring

Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience
5+ years demonstrated development experience using SQL, Scala, Spark, Flink, Beam, and/or Python
5+ years demonstrated experience in data management (structured and unstructured) and modern database technologies
Proven experience owning and evolving large-scale production data systems in distributed environments
Hands-on experience designing and operating lakehouse or warehouse architectures at scale
Strong schema design skills and deep intuition for data modeling in complex domains
A production mindset—you’ve owned critical systems, led incident resolution, and driven long-term fixes
Experience supporting AI/ML or AI-powered products where data quality directly impacts outcomes
Familiarity with streaming or incremental processing at scale
Experience defining data quality, observability, anomaly detection, or reliability standards
A deep curiosity and eagerness to problem solve in ambiguous, high-impact problem spaces without a playbook
Ability to lead through ambiguity with urgency, patience, and good judgment while raising the bar for others
Strong communication and collaboration skills
A plus if you have prior experience in the supply chain domain

Compensation & Benefits

As part of our commitment to People Powered Greatness, we invest in our team members with competitive compensation and a comprehensive benefits to support your health, financial future, and daily life. The package includes medical, dental, and vision coverage, a 401(k) with company match, and commuter benefits. Total compensation may include a combination of a competitive base salary and equity. Your initial placement within our salary range will be based on your experience, qualifications.

The base pay range for this role is $225,000 – $300,000 per year.

Auger considers all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Top Skills

Beam

Flink

Python

Scala

Spark

SQL

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The Company

HQ: Bellevue, WA

35 Employees

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.