Truckstop

Data Engineer

• 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 such as Metabase, Tableau, Power BI).
• 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 (e.g., GitHub Copilot, Cursor, CodeWhisperer, OpenAI Assistants) to accelerate delivery and improve code quality.

QA Automation Engineer

• As a member of Truckstop's Research, Operational Upgrades, & Transformation Engineering (ROUTE) team, the Process Automation Engineer will accelerate operational excellence by developing innovative AI-powered solutions and custom automation workflows and bridging the gap between standard product capabilities and specialized business requirements for the financial division
• Design and implement AI-powered automation workflows using prompt engineering techniques and agentic AI systems
• Build scalable business applications and custom solutions that address specialized needs not covered by standard product offerings
• Collaborate extensively with internal stakeholders to understand operational processes across multiple business units
• Translate complex business requirements into technical specifications for automation solutions
• Create intuitive user experiences for internal tools and automate manual processes to improve operational efficiency
• Research and prototype emerging AI technologies, particularly in process automation and workflow optimization
• Integrate consumer large language models (Google Gemini, Claude, OpenAI) into business process automation contexts
• Design and implement serverless compute solutions (AWS Lambda, GCP Cloud Functions, etc.) and integrate with APIs to support automation workflows
• Implement software engineering best practices including version control, CI/CD pipelines, code review processes, and automated testing for scalable, maintainable systems
• Develop and maintain data pipelines, dashboards, and reporting systems using SQL, Python, and cloud infrastructure
• Manage multiple projects simultaneously while maintaining clear communication with stakeholders about progress and priorities