Data Platform Engineer
Personetics
AirflowAWSAzureCloudETLGoogle Cloud PlatformKafkaPythonSparkSQL
Process Automation Engineer
Truckstop
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AirflowAWSAzureBigQueryCloudGoogle Cloud PlatformPythonSQL
About the role
- 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
Requirements
- 3-5 years of experience in software development, process automation, AI/ML implementation, or data analytics
- Strong proficiency in SQL and Python for data manipulation, pipeline development, and automation scripting
- Demonstrated experience with AI/LLM integration, particularly in business process automation contexts
- Experience with large language models and advanced prompt engineering techniques
- Hands-on experience building AI agents or agentic workflows for business process automation
- Proficiency with low-code/no-code platforms (e.g. Retool, Zapier) and ability to integrate them with custom solutions
- Experience with cloud infrastructure (AWS, Azure, GCP) and modern data warehousing (BigQuery, Snowflake, etc.)
- Experience with data analysis and visualization tools to create dashboards, reports, and insights that support business decision-making
- Experience with workflow and orchestration engines (Airflow, dbt, Luigi, Airbyte, etc)
- Track record of successfully translating business requirements into technical solutions
- Experience with stakeholder management and cross-functional collaboration
- Knowledge of software engineering best practices for building scalable, maintainable systems
- Exceptional ability to communicate complex technical concepts to non-technical business stakeholders
- Strong consultative approach to understanding business processes and identifying automation opportunities
- Ability to work collaboratively across multiple business units and translate their unique operational needs into technical solutions
- Proficiency in researching and implementing emerging AI technologies through proof-of-concept development
- Background in financial services, fintech, or similar data-intensive industries
- Strong analytical and problem-solving skills with ability to thrive in fast-paced, dynamic environments
- Experience with R&D, proof-of-concept development, or innovation-focused roles
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