Auger

Data Engineer

Reposted 2 Days Ago

Bellevue, WA, USA

In-Office

150K-225K Annually

Mid level

Software

The Role

The Data Engineer will transform customer data into a unified ontology, manage data pipelines, ensure data quality, and support AI systems.

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 owns 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 semantic ownership at the heart of the product.

What You'll do

As a 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 data pipelines, and are ready to take hands-on coding ownership in the following areas:

Own the data lifecycle end-to-end, from ingestion to production-ready ontology
Ingest data from databases, streams, batch files, and incremental feeds
Design and operate medallion-style lakehouse pipelines (bronze → silver → gold)
Transform raw inputs into a consistent digital twin of supply chain reality
Serve high-quality data to analytics, AI workflows, and write-back systems
Own data correctness and reliability in production, including monitoring, on-call, and incident response
Build data quality checks, validations, and safe backfill strategies
Use AI-assisted tools responsibly, reviewing and hardening generated code
Reduce complexity by simplifying pipelines and automating repetitive work

What You Bring

Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience
2+ years demonstrated development experience using SQL, Scala, Spark, Flink, Beam, and/or Python
2+ years demonstrated experience in data management (structured and unstructured) and modern database technologies
Experience building and operating production data pipelines in distributed systems
Hands-on experience with lakehouse or warehouse architectures
Strong schema design skills for structured and semi-structured data
A production mindset—you’ve owned systems that break and fixed them
Experience supporting AI/ML or AI-powered products
Familiarity with streaming or incremental processing
Experience with data quality, observability, or anomaly detection
A deep curiosity and eagerness to problem solve without a playbook. If you require intense structure and process, this is not the place for you
Ability to work collaboratively through ambiguity, with urgency, patience, and good humor

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 $150,000 – $225,000 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. Additionally, our privacy policy is available at https://auger.com/privacy-notice/.

Skills Required

Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience
2+ years demonstrated development experience using SQL, Scala, Spark, Flink, Beam, and/or Python
2+ years demonstrated experience in data management (structured and unstructured) and modern database technologies
Experience building and operating production data pipelines in distributed systems
Hands-on experience with lakehouse or warehouse architectures
Strong schema design skills for structured and semi-structured data
Experience supporting AI/ML or AI-powered products

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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.