Sr Data Engineer (LATAM Remote)

Location: Remote, Guadalajara

Department: Engineering

Location Type: REMOTE

Employment Type: FULL_TIME

Overview

Technical Challenge

Responsibilities

• 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.

Required Skills

• Strong data engineering expertise, including designing and operating data pipelines, data models, and batch/stream processing workflows in a production environment.
• Proficiency with Python for building data pipelines, automation, and data tooling.
• Advanced SQL skills for data transformation, analysis, and performance tuning.
• Experience working with PostgreSQL, including schema design, query optimization, and data integrity best practices.
• Experience building data pipelines and workloads on Databricks.
• Experience using dbt to develop, test, and maintain modular analytics engineering workflows.
• Experience working with MongoDB or other document databases as part of modern data stacks.
• Experience working with one or more major cloud platforms: AWS, Azure, or GCP.

Preferred Skills

• Experience using Snowflake for cloud data warehousing, modeling, and analytics workloads.
• Working knowledge of Apache Spark for large-scale data processing.

UPLabs Summary

Location: LATAM Remote