Senior Data Platform Engineer
full-time•United States, Guadalajara
About this role
Overview:
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 successful startups.
As a Data Platform Engineer, you will design and build scalable data infrastructure that powers analytics and machine learning capabilities across our portfolio companies. You'll work at the intersection of data engineering, cloud infrastructure, and backend development to create robust data pipelines and platforms that enable data-driven decision making.
Responsibilities:
- Design, build, and maintain highly scalable data pipelines and infrastructure to support advanced analytics and data science initiatives.
- Implement and optimize cloud infrastructure solutions, with a focus on monitoring, deployment automation, and system reliability.
- Develop backend services and APIs that integrate with data platforms and support data consumption across various applications.
- Contribute to front-end data visualization and dashboarding tools to make data insights accessible to stakeholders.
- Design, build, and maintain sophisticated relational algebra SQL engines encapsulated within Data Products that are integrated throughout the software application.
Required Skills:
- Expert-level proficiency in data engineering, with deep experience building and scaling data platforms and pipelines.
- Strong SQL skills with extensive experience in PostgreSQL and database optimization.
- Advanced Python programming capabilities for data processing, automation, and backend development.
- Extensive experience with Google Cloud Platform (GCP) services and architecture patterns.
- Solid experience with dbt for data transformation and analytics engineering workflows.
- Strong backend development skills with ability to build scalable APIs and services.
- Proficiency in DevOps practices and cloud infrastructure management, including experience with Kubernetes.
- Working knowledge of GenAI technologies and their application in data platforms.
- Experience with AWS cloud services and cross-cloud architectures.
- Familiarity with React and modern front-end technologies for building data interfaces.
Preferred Skills:
- Experience with Kafka for real-time data streaming and event-driven architectures.
- Working knowledge of TypeScript for type-safe application development.
- Familiarity with Node.js for building backend services and tooling.
Location: Remote
Other facts
Tech stack
Data Engineering,SQL,PostgreSQL,Python,Google Cloud Platform,GCP,Dbt,Backend Development,APIs,DevOps,Kubernetes,GenAI,AWS,React,Data Pipelines,Cloud Infrastructure
About UP.Labs
UP.Labs is a first-of-its-kind venture lab unlocking the future of transportation and mobility. 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.
Team size: 11-50 employees
Website: https://up.partners/labs/
LinkedIn: Visit
Industry: Venture Capital and Private Equity Principals
What you'll do
- The role involves designing, building, and maintaining highly scalable data pipelines and infrastructure to support advanced analytics and data science initiatives across portfolio companies. This includes implementing cloud infrastructure solutions, developing backend services/APIs, and creating sophisticated SQL engines encapsulated within Data Products.
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Frequently Asked Questions
What does a Senior Data Platform Engineer do at UP.Labs?
As a Senior Data Platform Engineer at UP.Labs, you will: the role involves designing, building, and maintaining highly scalable data pipelines and infrastructure to support advanced analytics and data science initiatives across portfolio companies. This includes implementing cloud infrastructure solutions, developing backend services/APIs, and creating sophisticated SQL engines encapsulated within Data Products..
Why join UP.Labs as a Senior Data Platform Engineer?
UP.Labs is a leading Venture Capital and Private Equity Principals company.
Is the Senior Data Platform Engineer position at UP.Labs remote?
The Senior Data Platform Engineer position at UP.Labs is based in United States, United States and Guadalajara, Jalisco, Mexico. Contact the company through Clera for specific work arrangement details.
How do I apply for the Senior Data Platform Engineer position at UP.Labs?
You can apply for the Senior Data Platform Engineer position at UP.Labs directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about UP.Labs on their website.