Overview

UP.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 Challenge

As a Data Engineer, you will work across multiple systems, collaborating closely with various teams. You’ll need to wear several hats typical to a startup environment and be responsible for end-to-end delivery, extending beyond traditional data engineering tasks. You'll manage the data infrastructure and serve data to both internal and external systems through APIs, ensuring high-quality, scalable solutions.

Responsibilities

Build and maintain scalable batch and streaming data pipelines that ingest, transform, and serve data for analytics and downstream applications.
Develop and operate backend data services and APIs to enable secure, reliable access to curated datasets and metrics.
Translate analytics and business intelligence needs into trusted data models, transformations, and reusable datasets.
Implement Python-based solutions for data processing and analysis.
Manage and maintain highly efficient data architectures, ensuring scalability and performance.
Develop and maintain APIs (REST, gRPC) to serve data to internal or external systems.
Build and refine CI/CD processes to improve data workflows and ensure seamless deployments.
Implement and maintain cloud and DevOps foundations (IaC, CI/CD, containers, orchestration) to ensure secure, repeatable, and scalable delivery of AI services.
Collaborate with teams across engineering, data science, and product to deliver robust data solutions.
Apply deep knowledge of data engineering best practices and frameworks, ensuring data integrity and security.
Work across multiple cloud environments such as GCP, Azure and AWS.

Required Skills

Strong data engineering experience delivering production-grade pipelines and data platforms, with an emphasis on reliability and maintainability.
Backend development capability, including writing clean, testable services and pipeline code in Python.
Advanced SQL skills, including building complex transformations and optimizing query performance.
Experience working with relational databases such as PostgreSQL, including schema design and performance tuning.
Working knowledge of Databricks for data processing and platform usage in support of data engineering workloads.
Experience using dbt to build, version, and manage analytics transformations and models.
Familiarity operating data workloads in cloud environments such as GCP, including production-minded practices for data systems.
Working knowledge of infrastructure-as-code using Terraform to provision and manage cloud resources reliably.
Familiarity running containerized workloads with Kubernetes, including basic deployment patterns, scaling, and operational troubleshooting.
Ability to apply foundational DevOps and cloud infrastructure practices—monitoring, CI/CD, environment management, and reliability—consistent with DevOps & Cloud Infrastructure expectations.

Preferred Skills

Experience working with Snowflake for cloud data warehousing, modeling, and performance optimization.
Familiarity applying GenAI to data workflows, such as data enrichment, quality checks, or analytics copilots.

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: Remote

Sr Data Engineer (LATAM Remote)