Sr Data Engineer (LATAM Remote)

### **Overview**

UPLabs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products. We’re seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of AI powered solutions for enterprise customers

### **Technical Challenge**

Design, build, and evolve scalable data pipelines and data platforms to reliably power AI/ML models and agentic workflows for our customers. Partner closely with forward deployed product and engineering teams to translate ambiguous requirements into robust, maintainable data solutions.

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### **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.

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### **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**

We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.

We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture’s life cycle, from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business.

### **Location:** LATAM Remote