UP.Labs builds high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. We partner with leading corporations and entrepreneurs to identify major industry opportunities, validate new venture concepts, and launch software and hardware companies from the ground up. Our team works at the earliest stage of company creation, where ideas are still forming, requirements are evolving, and technical validation is critical. We take ventures from concept through MVP and help recruit the full-time team that will scale the business. This environment requires people who are comfortable operating with ambiguity, making pragmatic technical decisions, and helping turn early product concepts into real, working systems. Location Remote
Sr Data Engineer
Location
Latin America (LATAM)
Posted
13 days ago
Salary
0
Seniority
Senior
Job Description
Sr Data Engineer
UP.Labs
Role Description 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. 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. 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. Preferred Skills - Experience using Snowflake for cloud data warehousing, modeling, and analytics workloads. - Working knowledge of Apache Spark for large-scale data processing. Company Description 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
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