Data Engineer

Build at AugerAuger 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 RoleBuild 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 AreasOwn the data lifecycle end-to-end, from ingestion to production-ready ontologyIngest data from databases, streams, batch files, and incremental feedsDesign and operate medallion-style lakehouse pipelines (bronze → silver → gold)Transform raw inputs into a consistent digital twin of supply chain realityServe high-quality data to analytics, AI workflows, and write-back systemsOwn data correctness and reliability in production, including monitoring, on-call, and incident responseBuild data quality checks, validations, and safe backfill strategiesUse AI-assisted tools responsibly, reviewing and hardening generated codeReduce complexity by simplifying pipelines and automating repetitive workWhat You BringDegree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience2+ years demonstrated development experience using SQL, Scala, Spark, Flink, Beam, and/or Python2+ years demonstrated experience in data management (structured and unstructured) and modern database technologiesExperience building and operating production data pipelines in distributed systemsHands-on experience with lakehouse or warehouse architecturesStrong schema design skills for structured and semi-structured dataA production mindset—you’ve owned systems that break and fixed themExperience supporting AI/ML or AI-powered productsFamiliarity with streaming or incremental processingExperience with data quality, observability, or anomaly detectionA deep curiosity and eagerness to problem solve without a playbook. If you require intense structure and process, this is not the place for youAbility to work collaboratively through ambiguity, with urgency, patience, and good humorCompensation & BenefitsAs 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/.