Automation Engineer

General Purpose of the Job

The Automation Engineer leads end-to-end project delivery, including requirements gathering, system architecture, prototyping, production deployment, and ongoing iteration.

Essential Duties and 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
• Translate informal processes into clear data models, services, and user-facing tools
• Build internal web apps, APIs, and automation services that users adopt
• Create data pipelines and system integrations
• Ingest data from files, forms, SaaS tools, and internal databases
• Implement ETL/ELT pipelines with validation, lineage, and monitoring
• Integrate systems via REST APIs, webhooks, queues, and scheduled jobs
• Create durable data foundations
• Design relational schemas, enforce constraints, manage migrations
• Build “single source of truth” datasets for analytics + operations
• Operationalize ML
• Use pre-trained models (LLMs / vision / classical ML) for classification, extraction, routing, forecasting, etc.
• When needed: fine-tune/train on company data, evaluate properly, deploy with monitoring

Education

• Computer Science, Computer Engineering, Data Science, AI/ML

Experience

• 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

Other Skills and Abilities

• Framework experience: FastAPI / Flask / Django, ASP.NET Core, NestJS / Express
• Data pipeline orchestration tooling: 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