Data Engineer
120000 - 130000 USD per year
Company:Truckstop
Location:US
Languages:English
Seniority level:Senior
Skills:
PythonSQLETLSnowflakePostgresTerraform
Requirements:
- Strong experience with Snowflake, SQL, and dbt in a production environment.
- Solid understanding of Terraform and infrastructure-as-code practices.
- Proficiency in Python for data processing, scripting, and automation.
- Experience implementing and maintaining ELT pipelines and data integrations.
- Familiarity with Postgres or other relational databases.
- Hands-on experience with BI or analytics tools.
- Experience with Airbyte, Matillion, or similar ETL/ELT platforms is highly valued.
- Demonstrated use of AI tools (e.g., Copilot, Cursor, Codex, Claude Code) in day-to-day engineering work.
- Excellent communication skills and the ability to work cross-functionally.
- Bonus: Background in supply chain, freight, or logistics.
Responsibilities:
- Design, build, and maintain scalable ELT pipelines and data models with Snowflake, dbt, and SQL.
- Develop data infrastructure and platform components using Terraform, Python, and modern orchestration tools.
- Work closely with engineering, analytics, and product teams to ensure data quality, reliability, and availability.
- Optimize ingestion, transformation, and storage patterns across Postgres and other relational systems.
- Partner with BI and analytics teams to enable self-service reporting in Domo (or other BI tools).
- Manage and enhance data integration workflows using Airbyte and Matillion.
- Drive architectural improvements around data governance, observability, automation, and scaling.
- Leverage AI-powered coding and workflow tools to accelerate delivery and improve code quality.
