Sr. Data Engineer

Build at Auger

About the Role

What You’ll Do

• 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

Compensation & Benefits