Sr. Data Engineer
Bellevue
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingBuild 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.
Own and evolve the data lifecycle across systems, from ingestion through production-ready ontology
Define standards for and operate medallion-style lakehouse pipelines (bronze → silver → gold)
Own data correctness and reliability in production, including monitoring, on-call, incident response, and post-incident systemic improvements
From the employer’s posting
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.
As a Senior 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 and durable data systems, and are ready to take hands-on ownership beyond individual pipelines in the following areas: Own and evolve the data lifecycle across systems, from ingestion through production-ready ontology Ingest data from databases, data streams, batch files, and incremental feeds
Ingest data from databases, data streams, batch files, and incremental feeds Define standards for and operate medallion-style lakehouse pipelines (bronze → silver → gold) Transform raw inputs into a consistent digital twin of supply chain reality that scales across customers
Serve high-quality data to analytics, AI workflows, and write-back systems with clear correctness guarantees Own data correctness and reliability in production, including monitoring, on-call, incident response, and post-incident systemic improvements Define and enforce data quality checks, validations, and robust backfill strategies
What you’ll bring
All qualificationsCore experience
- Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience
- 5+ years demonstrated development experience using technologies like Python, SQL, Scala, Spark, Flink, and Beam
- 5+ years demonstrated experience in data management (structured and unstructured) and modern database technologies
- Proven experience owning and evolving large-scale production data systems in distributed environments
- Hands-on experience designing and operating lakehouse or warehouse architectures at scale
- Experience supporting AI/ML or AI-powered products where data quality directly impacts outcomes
Qualification wording
Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience
5+ years demonstrated development experience using technologies like Python, SQL, Scala, Spark, Flink, and Beam
5+ years demonstrated experience in data management (structured and unstructured) and modern database technologies
Proven experience owning and evolving large-scale production data systems in distributed environments
Hands-on experience designing and operating lakehouse or warehouse architectures at scale
Experience supporting AI/ML or AI-powered products where data quality directly impacts outcomes
Tools in this posting
- Python
- Scala
- SQL
- Spark
Source — Tool mentions in context
- Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience - 5+ years demonstrated development experience using technologies like Python, SQL, Scala, Spark, Flink, and Beam - 5+ years demonstrated experience in data management (structured and unstructured) and modern database technologies
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 sets direction for and owns the evolution of 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 system-level semantic ownership at the heart of the product.
What You’ll Do
As a Senior 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 and durable data systems, and are ready to take hands-on ownership beyond individual pipelines in the following areas:
- Own and evolve the data lifecycle across systems, from ingestion through production-ready ontology
- Ingest data from databases, data streams, batch files, and incremental feeds
- Define standards for and operate medallion-style lakehouse pipelines (bronze → silver → gold)
- Transform raw inputs into a consistent digital twin of supply chain reality that scales across customers
- Serve high-quality data to analytics, AI workflows, and write-back systems with clear correctness guarantees
- Own data correctness and reliability in production, including monitoring, on-call, incident response, and post-incident systemic improvements
- Define and enforce data quality checks, validations, and robust backfill strategies
- Use AI-assisted tools responsibly, setting expectations for review, validation, and production readiness of generated code
- Reduce complexity at scale by simplifying pipelines, eliminating redundancy, and automating recurring workflows
- Partner with product, science, and platform tooling teams to translate ambiguous needs into durable technical designs
What You Bring
- Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience
- 5+ years demonstrated development experience using technologies like Python, SQL, Scala, Spark, Flink, and Beam
- 5+ years demonstrated experience in data management (structured and unstructured) and modern database technologies
- Proven experience owning and evolving large-scale production data systems in distributed environments
- Hands-on experience designing and operating lakehouse or warehouse architectures at scale
- Strong schema design skills and deep intuition for data modeling in complex domains
- A production mindset—you’ve owned critical systems, led incident resolution, and driven long-term fixes
- Experience supporting AI/ML or AI-powered products where data quality directly impacts outcomes
- Familiarity with streaming or incremental processing at scale
- Experience defining data quality, observability, anomaly detection, or reliability standards
- A deep curiosity and eagerness to problem solve in ambiguous, high-impact problem spaces without a playbook
- Ability to lead through ambiguity with urgency, patience, and good judgment while raising the bar for others
- Strong communication and collaboration skills
- A plus if you have prior experience in the supply chain domain
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.gem.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bellevue
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 2, 2026
- Recorded sightings
- 50
- Last seen by us
- Oct 1, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.