Staff Data Engineer
Core
Designing, scaling, and governing a modern cloud-based data platform to power smarter decisions for the trucking industry.
Role type
Staff Data Engineer
Builds
Cloud-based data platform serving SMB trucking companies
Domain
Logistics / Trucking / Cloud Data Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Data ingestion (batch/streaming), Cloud-native 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
Setting long-term technical vision, Mentoring engineers, Influencing cross-functional stakeholders
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 including quality and lineage; Design system-wide data architecture for analytics and ML; Establish best practices for data modeling and lifecycle management; Partner with product and engineering teams; Mentor other engineers; Drive adoption of modern tooling for orchestration and cataloging
Seniority
Staff, hands-on IC with strategic direction
