Data Engineer

Build at Auger

About the Role

What You'll do

• 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