Description
The Data Engineer will design, build, and harden production-grade data pipelines covering ingestion, curation, reconciliation, data quality monitoring, lineage, and notifications. The role uses PySpark on GCP Dataproc or Sparkflow and BigQuery, with schema, performance, reliability, cost, cataloging, governance, and incident-response responsibilities. It requires 3+ years of production data engineering experience for L3 or 6+ years for L4, along with SQL, Spark, big-data file formats, pipeline monitoring, and software-engineering practices. The stated rate range is $55-$60 per hour.
