Data Engineer

Whatnot · Consumer · San Francisco, CA · Engineering

Data Engineer role focused on building and scaling data systems, including data architecture, pipelines, and models, to support data-driven decisions across product, sales, marketing, finance, and trust teams. Requires experience with modern data tooling and cloud data warehouses.

What you'd actually do

  1. Own data architecture end-to-end.
  2. Build mission-critical pipelines.
  3. Design and implement canonical models.
  4. Enforce data quality at scale.
  5. Automate operational workflows.

Skills

Required

  • Python
  • SQL
  • data warehousing
  • distributed data systems
  • event-driven architectures
  • dimensional modeling
  • Data Vault modeling
  • ledger-style modeling
  • Kafka
  • Debezium
  • dbt
  • Spark
  • Flink
  • Dagster
  • Airflow
  • Monte Carlo
  • Great Expectations
  • Snowflake
  • BigQuery
  • Redshift
  • CI/CD
  • infrastructure-as-code

What the JD emphasized

  • 3+ years of experience as a data or software engineer
  • design and implement data models
  • deep hands-on expertise
  • operated cloud data warehouses
  • writing production-grade code
  • partnering across disciplines
  • self-starter