Data Engineer

Clear ownership, not decision by consensus

First principles over inherited patterns

Shipping systems, not slide decks

Fast feedback from reality, not opinions

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

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