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UP.Labs is a first-of-its-kind venture lab unlocking the future of transportation and mobility.
The Role
Design and build scalable data infrastructure and pipelines for multiple ventures, implement ETL processes, and enhance data workflows with GenAI capabilities.
Summary Generated by Built In
Overview
Technical Challenge
Responsibilities
Required Skills
Preferred Skills
UPLabs Summary
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.
- Work across multiple cloud environments such as GCP, Azure and AWS.
- 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
Skills Required
- Strong proficiency in Data Engineering
- Expert-level SQL skills
- Strong Python programming skills
- Advanced experience with dbt
- Extensive hands-on experience with Azure
- Advanced proficiency with Databricks
- Solid experience with Apache Spark
- Strong understanding of GenAI technologies
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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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