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UP.Labs is a first-of-its-kind venture lab unlocking the future of transportation and mobility.
The Role
Design, build, and maintain production-grade data pipelines and models to power AI/ML workloads. Own pipeline reliability (orchestration, monitoring, incident response), collaborate with product and engineering to define requirements, optimize performance and cost, and document data models and runbooks.
Summary Generated by Built In
Overview
Technical Challenge
Responsibilities
Required Skills
Preferred Skills
UPLabs Summary
Location: LATAM Remote
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
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.
- 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.
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.
Skills Required
- Designing and operating production data pipelines and batch/stream processing workflows
- Proficiency with Python for data pipelines, automation, and tooling
- Advanced SQL for transformation, analysis, and performance tuning
- Experience with PostgreSQL including schema design and query optimization
- Experience building data pipelines and workloads on Databricks
- Experience using dbt to develop, test, and maintain analytics workflows
- Experience with MongoDB or other document databases
- Experience with one or more major cloud platforms (AWS, Azure, or GCP)
- Ownership of pipeline reliability: orchestration, monitoring, alerting, and incident response
- Experience using Snowflake for cloud data warehousing
- Working knowledge of Apache Spark for large-scale data processing
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The Company
What We Do
We work with global corporate partners to identify the most pressing challenges that they, and broader society, face. Inspired by these complex problems, we launch startups built by proven entrepreneurs, product leaders and technologists that use their agility and talent to develop transformative solutions. After these companies have matured and proven market fit, our corporate partners are able to acquire them, reaping strategic value while enriching their culture and core business. We believe this to be the shortest road to a faster, cleaner, safer, and more accessible future.
Why Work With Us
We launch and innovate 6-8 portfolio organizations a year where no day is the same.
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