Senior Data Engineer - Remote LATAM for AI Data Pipelines

Uplabs; Región Centro; A distancia; MXN 1.573.426 - 2.272.727; Jornada completa

Descripción de la vacante

UPLabs is a dynamic venture studio building AI-powered solutions for enterprise customers. We design and deploy scalable data platforms and pipelines to support AI/ML workloads, partnering closely with product and engineering teams.

Join a team that owns end-to-end data engineering, ensures reliability and data quality, and drives performance improvements and cost efficiency across data workloads in a LATAM Remote setting.

Formación

• Experience designing and operating scalable data pipelines in production.
• Strong SQL and Python for data processing and automation.
• Ability to design data models and implement data quality controls.
• Experience with cloud-based data platforms and modern data stacks.

Responsabilidades

• Architect, build, and maintain scalable, production-grade data pipelines and data models to enable reliable ingestion, transformation, and delivery of data.
• Own end-to-end pipeline reliability, including orchestration, monitoring, alerting, and incident response to meet data freshness and quality expectations.
• Partner with product, engineering, and analytics stakeholders to define data requirements, translate them into clear technical specifications, and deliver iteratively.
• Improve performance, scalability, and cost efficiency of data workloads by tuning SQL queries, optimizing storage/compute patterns, and standardizing best practices across projects.
• Document data models, pipeline behavior, and operational runbooks to ensure maintainability and smooth knowledge transfer across accounts.

Conocimientos

Data engineering

Python

SQL

Databricks

dbt

PostgreSQL

MongoDB

Cloud platforms (AWS/Azure/GCP)

Herramientas

Databricks

PostgreSQL

MongoDB

Snowflake

Apache Spark

dbt

Descripción del empleo

UPLabs is a dynamic venture studio building AI-powered solutions for enterprise customers. We design and deploy scalable data platforms and pipelines to support AI/ML workloads, partnering closely with product and engineering teams.

Join a team that owns end-to-end data engineering, ensures reliability and data quality, and drives performance improvements and cost efficiency across data workloads in a LATAM Remote setting.