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.

• Build 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

• Git workflow experience (branches, pull requests, code review habits).

• Clear technical communication: can write clean documentation

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