Auger

Software Development Engineer - AI Enablement

Bellevue, USA

Sponsorship not specifiedDetected 118 days ago

PythonScalaSQLMachine LearningSparkData EngineeringStatisticsSupply ChainCommunicationCollaboration

About the role

This role is data-centric software engineering.
We hold a high bar for quality: you'll help turn messy, customer-shared data into a unified semantic layer that analytics, AI workflows, and execution paths can rely on.
This is not a "move data from A to B" role.

You will deliver end-to-end on assigned pipelines and transformation work, help troubleshoot production issues, and consistently improve quality through tests, checks, and sound operational habits.
Build and maintain data pipelines lifecycle.
Build and maintain the integration points between data pipelines and ML pipelines.
Implement schema-bound datasets that transform pipeline outputs into ML-ready inputs, and write ML results back to the semantic layer following established contracts.
Contribute to schema design and enforce data contracts that keep model logic cleanly separated from the system of record.
Operate what you build: monitoring and alerting as appropriate, participating in incidents remediations, and following through so issues do not repeat.
reporting, AI-powered decision support, and write-back execution systems that operate at scale.

Degree in Computer Science, Mathematics, Statistics, or another data-intensive discipline (or equivalent practical experience).
Hands-on experience with lakehouse/warehouse patterns, incremental processing, and basic performance/cost awareness.
Agent-native fluency with verification-you treat generated SQL/pipelines as proposals until proven.
As a Software Development Engineer, you have a solid data engineering background.

clarify correctness for the datasets you touch
turn bugs and incidents into fixes that stick.
What You Bring Degree in Computer Science, Mathematics, Statistics, or another data-intensive discipline (or equivalent practical experience).
4+ years of professional development experience with strong hands-on SQL and Python in production (Spark or equivalent large-scale batch processing preferred
Scala/Flink/Beam a plus).
A plus if you have experience in supply chain, planning, or fulfillment domains.

Practice test-driven habits for data: clarify correctness for the datasets you touch; add automated checks and regression coverage where it matters; turn bugs and incidents into fixes that stick.

Partner with product, science, and platform teammates to clarify requirements, flag tradeoffs early, and deliver work that holds up to customers.

This listing is sourced directly from Auger's careers page and normalized into a canonical job model.