Automation Engineer

Tremco CPG Inc. • Clearwater, FL

11d

About The Position

The Automation Engineer leads end-to-end project delivery, including requirements gathering, system architecture, prototyping, production deployment, and ongoing iteration. This role involves designing and building company-owned internal software, data pipelines, and integrations to replace Excel as an operational backbone. The engineer will translate ambiguous business needs into clear functional and technical specifications, select appropriate tools and architectures for scalable solutions, and develop robust, efficient, and reliable systems. Key responsibilities include replacing manual workflows with production software, building internal web apps, APIs, and automation services, creating data pipelines and system integrations, establishing durable data foundations, and operationalizing machine learning models.

Requirements

• Proficiency in at least one backend language: e.g. Python, TypeScript/Node.js, or C#/.NET
• Ability to build automation/services that handle data, integrate APIs, and run reliably in production.
• Strong SQL and relational fundamentals (schema design basics, joins/aggregations, constraints, query debugging; Postgres/MySQL/SQL Server).
• Ability to build and consume REST APIs (HTTP basics, auth patterns, pagination, error handling).
• Solid software engineering fundamentals: data structures + OOP, readable, maintainable code, debugging and refactoring
• Git workflow experience (branches, pull requests, code review habits).
• Clear technical communication: can write clean documentation

Nice To Haves

• FastAPI / Flask / Django, ASP.NET Core, NestJS / Express
• Airflow / Dagster / Prefect
• Docker experience and basic CI/CD (GitHub Actions, Azure DevOps, or similar)
• Cloud exposure (AWS / Azure / GCP): managed databases, object storage, message queues
• Building SaaS integrations using REST APIs / webhooks

Responsibilities

• Design and build company-owned internal software, data pipelines, and integrations to replace Excel as an operational backbone
• Translate ambiguous business needs into clear functional and technical specifications
• Select appropriate tools, technologies, and architectures to deliver scalable and maintainable solutions
• Develop robust, efficient, and reliable systems, ensuring accuracy and correctness through validation and testing
• Drive execution and delivery, shipping improvements quickly and iterating based on feedback and results
• Replace manual workflows with production software by translating informal processes into clear data models, services, and user-facing tools, and building internal web apps, APIs, and automation services that users adopt.
• Build data pipelines and system integrations by ingesting data from various sources, implementing ETL/ELT pipelines with validation, lineage, and monitoring, and integrating systems via REST APIs, webhooks, queues, and scheduled jobs.
• Create durable data foundations by designing relational schemas, enforcing constraints, managing migrations, and building 'single source of truth' datasets for analytics + operations.
• Operationalize ML by using pre-trained models for various tasks, and when needed, fine-tuning/training on company data, evaluating properly, and deploying with monitoring.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level