AI Data Engineer ID51654

AgileEngine; Puebla de Zaragoza; Híbrido; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

A leading software development company is seeking a Senior AI Data Engineer (Python) in Puebla, Mexico. This role involves building data pipelines, architecting scalable cloud infrastructure, and automating workflows for energy intelligence. The ideal candidate should have 4-7 years of experience in data engineering, proficient in Python, GCP, and SQL/NoSQL, along with strong communication skills. The company offers competitive compensation and flexible working hours.

Formación

• 4-7 years of experience as a Data Engineer.
• Experience with building production data systems.
• Upper-intermediate English level.

Responsabilidades

• Build high-reliability data pipelines and APIs.
• Architect databases for time-series energy data.
• Design GCP infrastructure for scale and efficiency.
• Build infrastructure for coding agents and AI tools.
• Set up CI/CD and automation.
• Document and communicate across teams.

Conocimientos

Data Engineering

Python

TypeScript

GCP

SQL/NoSQL

CI/CD

Observability

Automation

Upper-intermediate English

Descripción del empleo

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior AI Data Engineer (Python) to build and scale the data and AI infrastructure powering next-generation energy intelligence. In this role, you’ll design resilient data pipelines, APIs, and cloud architectures while enabling LLM workflows and automation across the platform. Working closely with technical leadership in a fast-moving startup environment, you’ll shape how data transforms into real-world impact and scalable AI-driven solutions.

WHAT YOU WILL DO

• Build high-reliability data pipelines and APIs to connect to utilities and public energy sources;
• Architect databases and ingestion systems for time-series energy data, billing, and telemetry;
• Design GCP infrastructure such as BigQuery, Cloud SQL, and Secret Manager for scale and cost efficiency;
• Build infrastructure that enables coding agents and AI tools to automate workflows across the stack;
• Set up CI/CD, observability, and automation to maintain fast and reliable delivery;
• Document, communicate, and collaborate across technical and business teams to translate work into impact metrics.

MUST HAVES

• 4-7 years of experience as a Data Engineer;
• Experience building production data systems using Python, TypeScript, GCP, and SQL/NoSQL;
• Upper-intermediate English level.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.