---
title: 'Data Engineer at Auger'
canonical: 'https://feeny.ai/job/data-engineer-auger-bellevue-bvf6zg68yvbs'
type: 'job'
last_seen: '2026-09-09'
---

# Data Engineer at Auger

- **Company:** Auger
- **Location:** Bellevue, WA
- **Compensation:** $150k–$200k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-01-20
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.gem.com/auger/am9icG9zdDpi4G6_s-J5p8mgMx3IlQjG

## Job description

## 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

## About Auger

## Company Overview
- **One-liner**: Auger is building the world’s first autonomous operating system for supply chain operations, collapsing the gap between signal and execution with AI-powered automation.
- **Entity Type**: Private (Series A)
- **Headquarters**: Bellevue, Washington, USA
- **Founded**: 2024
- **Founders**: Dave Clark (Founder & CEO), Leigh Anne Clark (Co-Founder and President, Fashion and Beauty)

## Core Business
- **Primary industry/industries**: Supply Chain Technology, Enterprise AI, Logistics Software
- **Target customers**: B2B, Enterprise (large-scale supply chain operators, retailers, manufacturers, logistics providers)
- **Mission or purpose statement**: "To eliminate the Coordination Tax that traps enterprises in manual silos and fragmented systems. To make superhuman operations available to every enterprise ready to lead."

## Products & Services
- **The Autonomous Operating System**: A unified AI-powered platform that integrates with existing enterprise systems to provide real-time intelligence, cross-system synchronization, and autonomous execution of routine supply chain tasks (demand shifts, lead time management, capacity planning, scheduling). The system turns messy data into executable truth, allowing operators to move from firefighting to strategic work.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric – Total Funding**: $400M across three rounds (Seed, Series A, Series A extension)
- **Notable Investors/Partners**: Oak HC/FT (lead investor in initial $100M Series A)
- **Growth Signals**:
  - Headcount grew **223.9% YoY** (from ~26 to 129 employees)
  - LinkedIn follower count grew **74.5% YoY** (currently 12,855)
  - Active job postings: 17 (up 88.9% YoY)
  - Major talent pipeline from Amazon (26 hires), Microsoft (9), AWS (7), Meta (4)

## Competitive Advantages
- **Founder pedigree**: Led by Dave Clark, former CEO of Amazon’s worldwide consumer business — deep operational credibility at global scale.
- **"Living Ontology" approach**: Not layering AI on top of broken legacy systems, but building a unified data fabric across the entire enterprise.
- **Consumer-grade UX**: Makes complex supply chain tasks accessible through simple, intuitive interfaces (e.g., natural language queries for inventory insights).
- **Team composition**: 53% of employees in technical roles; includes a Chief AI and Agentic Scientist, Chief Supply Chain Scientist, and Chief AI Economist — rare depth of domain AI expertise.

## Strategic Focus
- **Autonomous execution**: Replacing the "speed of consensus" (manual coordination, meetings, spreadsheets) with real-time, automated reflexes.
- **Sustainability**: Positioning autonomous execution as the architecture for sustainable scaling — reducing excess inventory, expedited shipments, and waste.
- **Expanding beyond supply chain**: The company states it will expand "wherever coordination breaks down," suggesting a platform play across adjacent operational domains.

## Why Work Here
- **Culture highlights**: Described as a "pioneering venture" with a human-centered approach to solving broken supply chains. The team is composed of operators who "have lived the consequences" — late nights, impossible trade-offs — and are building to eliminate that pain for others.
- **Remote/hybrid/office policy**: In-office roles (e.g., Strategic BDR listed as "In-Office"). HQ in Bellevue, WA, with additional offices in Clyde Hill, WA and Bellevue, WA.
- **Notable perks or engineering culture**: Heavy investment in deep technical talent (AI, data science, supply chain science). Emphasis on moving from "firefighting to reinvention." Backed by top-tier VC with substantial runway ($400M total funding). Strong pipeline of ex-Amazon, Microsoft, and Meta engineers.

## Sources
1. [auger.com](https://auger.com/about/)
2. [linkedin.com](https://linkedin.com/company/augerinc)
3. [builtin.com](https://builtin.com/company/auger)
4. [cbinsights.com](https://www.cbinsights.com/company/auger)
5. [theorg.com](https://theorg.com/org/auger-1)

## Other roles at Auger

- [Customer Engineering Lead](https://feeny.ai/job/customer-engineering-lead-auger-bellevue-6zzen1qnj7za) — Bellevue, WA
- [Software Development Engineer](https://feeny.ai/job/software-development-engineer-auger-bellevue-v5g9bd4tykz8) — Bellevue, WA
- [Deployment Strategist](https://feeny.ai/job/deployment-strategist-auger-dallas-c7j3rqsgv615) — Dallas, TX
- [Principal Software Development Engineer](https://feeny.ai/job/principal-software-development-engineer-auger-bellevue-rst59fsvcgwm) — Bellevue, WA
- [Principal Product Manager - Platform Experience](https://feeny.ai/job/principal-product-manager-platform-experience-auger-bellevue-xvsrrkh9azm3) — Bellevue, WA
- [Applied Scientist - Supply Chain](https://feeny.ai/job/applied-scientist-supply-chain-auger-bellevue-gw6nyzm5ktcm) — Bellevue, WA
- [UX Engineer](https://feeny.ai/job/ux-engineer-auger-bellevue-k41b19gfq7ty) — Bellevue, WA
- [Software Development Engineer - Front-End](https://feeny.ai/job/software-development-engineer-front-end-auger-bellevue-8gc0qdn8jnn8) — Bellevue, WA
- [Data Scientist - Supply Chain](https://feeny.ai/job/data-scientist-supply-chain-auger-bellevue-2gzs2y0xfes2) — Bellevue, WA
- [IT Operations Engineer](https://feeny.ai/job/it-operations-engineer-auger-dallas-8ffh6xd5ezmg) — Dallas, TX