Data Engineer

View all jobs

Data Engineer

Bellevue

AI Enablement Engineering

In office

Full-time

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. Headquarters in Dallas, TX and 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/ .

Ready to apply?

Powered by

First name *

Last name *

Email *

LinkedIn URL

Phone number *

Location *

Resume *

Click to upload or drag and drop here

Why do you want to work at Auger? *

Are you open to relocation (if required) *

Yes

No, I'm seeking a remote role

I live a commutable distance to the office

Do you have permanent US Work Authorization? *

Yes

No

If no, please provide details regarding your current work authorization status including type and expiration.

How did you hear about Auger?

Voluntary Self-Identification

To comply with government reporting requirements, we invite candidates to participate in the self-identification survey below. Your completion of this form is entirely optional, and your decision will neither influence the hiring process nor any subsequent stages. Any information you choose to share will be kept confidential and stored in a secure file. As outlined in our Equal Employment Opportunity policy, we uphold a commitment to non-discrimination based on any protected group status specified in applicable laws.

Gender

Please select

Race

Please select

Race and ethnicity descriptionsExpand

By applying you agree to Gem's terms and privacy policy.

Save your info to apply to other roles faster & help employers reach you.

Apply and saveApply without saving

Req ID: R52