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
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Build and maintain scalable batch and streaming data pipelines that ingest, transform, and serve data for analytics and downstream applications.
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Develop and operate backend data services and APIs to enable secure, reliable access to curated datasets and metrics.
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Translate analytics and business intelligence needs into trusted data models, transformations, and reusable datasets.
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Implement Python-based solutions for data processing and analysis.
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Manage and maintain highly efficient data architectures, ensuring scalability and performance.
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Develop and maintain APIs (REST, gRPC) to serve data to internal or external systems.
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Build and refine CI/CD processes to improve data workflows and ensure seamless deployments.
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Implement and maintain cloud and DevOps foundations (IaC, CI/CD, containers, orchestration) to ensure secure, repeatable, and scalable delivery of AI services.
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Collaborate with teams across engineering, data science, and product to deliver robust data solutions.
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Apply deep knowledge of data engineering best practices and frameworks, ensuring data integrity and security.
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Work across multiple cloud environments such as GCP, Azure and AWS.
Required Skills
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Strong data engineering experience delivering production-grade pipelines and data platforms, with an emphasis on reliability and maintainability.
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Backend development capability, including writing clean, testable services and pipeline code in Python.
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Advanced SQL skills, including building complex transformations and optimizing query performance.
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Experience working with relational databases such as PostgreSQL, including schema design and performance tuning.
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Working knowledge of Databricks for data processing and platform usage in support of data engineering workloads.
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Experience using dbt to build, version, and manage analytics transformations and models.
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Work across multiple cloud environments such as GCP, Azure and AWS.
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Ability to apply foundational DevOps and cloud infrastructure practices—monitoring, CI/CD, environment management, and reliability—consistent with DevOps & Cloud Infrastructure expectations.
Preferred Skills
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Experience working with Snowflake for cloud data warehousing, modeling, and performance optimization.
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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
