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Build at Auger Auger is the autonomous operating system for supply chains — the layer that finally allows disparate systems like ERP, WMS, and TMS to work together instead of against each other. Most supply chain software surfaces problems and waits for a human to act. Auger solves them. Our AI detects disruptions, evaluates trade-offs, and executes decisions automatically — moving from signal to action in seconds, not weeks. We eliminate the Coordination Tax: the billions in capital and time lost when disconnected systems force the best people in the business to become the Human API between planning and execution. At Auger, we design autonomy into our systems. We expect the same from our people. That Means Clear ownership, not decision by consensus First principles over inherited patterns Shipping systems, not slide decks Fast feedback from reality, not opinions If you want to build, ship, and iterate against reality, Auger is for you. Auger was founded by Dave Clark and is backed by $150M from Oak HC/FT and Eclipse Capital. Our team works from Bellevue, WA and Dallas, TX. 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/ .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.