Data Engineer
Core
Building and optimizing ETL workflows in Snowflake to manage parcel logistics data and support reporting/analytics.
Role type
Junior to mid-level Data Engineer
Builds
Backend data pipelines and transformations for parcel logistics analytics
Domain
Logistics / Shipping Intelligence / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Snowpark, SQL, Python, Git, Dagster
Preferred skills
Airflow, dbt, EDI schema parsing, SaaS pipeline architecture
Technologies
Snowflake, Snowpark, Dagster, Git, SQL, Python
Responsibilities
Develop and maintain ETL workflows in Snowflake using Snowpark; Write and optimize transformations to support reporting and analytics; Manage code in Git and contribute to a clean, well-documented codebase; Orchestrate data workflows with Dagster; Parse and process parcel logistics data in formats such as CSV, JSON, and EDI; Work directly with the CTO in 2-week sprint cycles
Seniority
Junior to mid-level, hands-on IC
