Principal Agentic Data Systems Engineer

Tableau Software, Inc.; Ciudad de México; Híbrido; MXN 1.398.845 - 2.098.268; Jornada completa

Descripción de la vacante

Tableau Software, Inc. is seeking a Lead Data Systems Engineer in Mexico City to oversee the development and management of autonomous data systems. This role requires 5+ years of experience in Data Engineering, a strong foundation in Python and SQL, and proficiency in AI-native development environments. The successful candidate will manage complex workflows involving multiple AI agents, ensuring robustness and operational efficiency. A hybrid working model is offered along with significant responsibilities in shaping data strategy and products.

Formación

• Hands-on engineer capable of turning architectural blueprints into production-grade data products.
• Strong proficiency in Python and SQL with operational leverage using generative AI.
• Excellent judgment in identifying logic errors in outputs before production.

Responsabilidades

• Architect and maintain a private ecosystem of specialized autonomous agents.
• Design multi-step reasoning architectures and verification protocols for outputs.
• Transform ambiguous business requirements into production-ready data products independently.

Conocimientos

Python

SQL

AI-native development environments

Agentic frameworks

ETL

Synthetic data generation

Automated QA

Predictive modeling

Educación

5+ years of experience in Data Engineering, Architecture, or Data Science

Herramientas

Apache Spark

dbt

Airflow

Snowflake

Docker

Kubernetes

Descripción del empleo

Tableau Software, Inc. is seeking a Lead Data Systems Engineer in Mexico City to oversee the development and management of autonomous data systems. This role requires 5+ years of experience in Data Engineering, a strong foundation in Python and SQL, and proficiency in AI-native development environments. The successful candidate will manage complex workflows involving multiple AI agents, ensuring robustness and operational efficiency. A hybrid working model is offered along with significant responsibilities in shaping data strategy and products.