Sr Data Engineer (LATAM Remote)

Description

Summary: Seeking a highly skilled Data Engineer to build innovative startup companies from the ground up, solve complex problems, and drive technological advancements. Highlights: 1. Build and maintain scalable batch and streaming data pipelines. 2. Develop and operate backend data services and APIs. 3. Collaborate with teams across engineering, data science, and product. **Sr Data Engineer (LATAM Remote)** Remote • Guadalajara, Mexico Engineering Remote Full\-time**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