Staff Data Engineer
Core
Design, scale, and govern a modern cloud-based data platform to power analytics, ML, and operational decisions for the trucking industry.
Role type
Staff Data Engineer
Builds
Cloud data platform (ingestion, architecture, governance) for SMB trucking companies
Domain
Logistics / Trucking / Data Engineering
Deliverable
production ML models
Required skills
Data ingestion (batch/streaming), Cloud data platforms (Snowflake, BigQuery, Databricks, Redshift), SQL, Python, Data governance, Data modeling, Distributed system design, Orchestration tools (Airflow, Dagster, Prefect), Metadata/catalog platforms (dbt, DataHub)
Preferred skills
Technical vision, Cross-functional leadership, Mentoring
Technologies
Snowflake, BigQuery, Databricks, Redshift, Airflow, Dagster, Prefect, dbt, DataHub, Amundsen
Responsibilities
Architect and scale ingestion frameworks for diverse data sources; Define and enforce data schemas; Own data governance strategy (quality, lineage, compliance); Design system-wide data architecture; Establish best practices for data modeling and lifecycle management; Partner with product, engineering, and compliance teams; Mentor engineers and lead technical design discussions; Drive adoption of modern tooling for orchestration and cataloging.
Seniority
Staff, hands-on IC with strategic influence
