Senior Data Engineer (LATAM Remote)

OverviewUP.Labs 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 successful startups.

Technical ChallengeYou will design and build scalable data infrastructure and pipelines to support our portfolio of mobility-focused ventures, leveraging modern cloud platforms and cutting-edge data engineering tools.

Your work will enable data-driven decision-making across multiple startups, from initial product development through scale.

ResponsibilitiesDesign, implement, and maintain robust data engineering solutions, including ETL/ELT pipelines, data warehousing, and real-time data processing systemsBuild and optimize data infrastructure on Azure, implementing best practices for scalability, reliability, and performanceDevelop data transformation workflows using dbt and orchestrate complex data pipelines with Apache Spark and DatabricksImplement infrastructure as code using Terraform, DABs, and GitHub Actions to ensure reproducible and maintainable data environmentsIntegrate GenAI capabilities into data workflows to enhance analytics and automation across venturesCollaborate with cross-functional teams to understand data requirements and translate them into technical solutions Required SkillsStrong proficiency in Data Engineering, with demonstrated ability to design and implement end-to-end data solutions at scaleExpert-level SQL skills for complex querying, optimization, and database designStrong Python programming skills for data processing, automation, and building data applicationsAdvanced experience with dbt for data transformation and modeling, following analytics engineering best practicesExtensive hands-on experience with Azure cloud services, including data storage, compute, and analytics toolsAdvanced proficiency with Databricks for building and managing data lakehouse architecturesSolid experience with Apache Spark for distributed data processing and large-scale analyticsStrong understanding of GenAI technologies and their application in data engineering workflows Preferred SkillsWorking knowledge of PostgreSQL for relational database management and optimizationProficiency with Infrastructure as Code tools including Terraform, Databricks Asset Bundles (DABs), and CI/CD pipelines using GitHub ActionsFamiliarity with Kafka for building real-time streaming data pipelinesExperience with AWS cloud services and multi-cloud architectures UPLabs SummaryWe 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.