Sr Data Engineer (LATAM Remote)
Remote
Job Summary
Architect, build, and maintain scalable, production-grade data pipelines and data models to enable reliable ingestion, transformation, and delivery of data for AI/ML models and agentic workflows. Own end-to-end pipeline reliability, including orchestration, monitoring, alerting, and incident response. 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 by tuning SQL queries and optimizing storage/compute patterns. Document data models, pipeline behavior, and operational runbooks to ensure maintainability and knowledge transfer. This role supports UPLabs' venture studio mission of launching mobility-focused startups by powering the data infrastructure for their portfolio of software and hardware companies.
Required Qualifications
- 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
Desired Qualifications
- Experience using Snowflake for cloud data warehousing, modeling, and analytics workloads
- Working knowledge of Apache Spark for large-scale data processing
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