UP.Labs · 5 months ago
Senior Data Engineer (LATAM Remote)
United States
Full-time
Remote
Senior Level
5+ years expUPLabs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. They are seeking a highly skilled Data Engineer to build and optimize data infrastructure for analytics and machine learning initiatives, design scalable data pipelines, and ensure efficient data integration.
Venture Capital & Private Equity
Responsibilities
Design, build, and maintain scalable data pipelines and workflows using multiple Cloud services and tools
Collaborate with data scientists, machine learning engineers, and business stakeholders to understand data requirements and deliver appropriate solutions
Optimize data storage solutions and implement best practices for data governance, security, and performance
Implement Python-based solutions for data processing and analysis
Build and refine CI/CD processes to improve data workflows and ensure seamless deployments
Monitor and troubleshoot data pipelines to ensure reliability and minimize downtime
Stay up to date with advancements in data engineering and cloud computing
Qualification
Required
Bachelor's or Master's degree in Data Engineering, Computer Science or a related field (or equivalent practical experience)
5+ years of experience in designing and implementing data pipelines and ETL workflows
Proven track record of delivering production-grade software
Strong problem-solving skills and attention to detail
Excellent English communication
Strong problem-solving and analytical skills, with the ability to work collaboratively in a team environment
Ability to thrive in a fast-paced, agile environment, with the capability to drive frontend and backend architectural decisions
Strong experience with Python programming language
Exceptional SQL proficiency for querying and managing complex data structures
Deep experience with Databricks for managing and optimizing large-scale data systems
Strong experience with at least one cloud service (AWS, Azure, or GCP)
Deep understanding of database systems, data warehousing, and data modeling techniques
Familiarity with distributed computing and Big Data frameworks like Apache Spark or Hadoop
Preferred
Experience in the transportation and logistics industry
Knowledge of IoT data integration and real-time data processing
Familiarity with MLOps workflows and supporting machine learning teams
Experience with data visualization tools like Power BI or Tableau
Company
UP.Labs
UP.Labs is a first-of-its-kind venture lab unlocking the future of transportation and mobility.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
André Rabold
Head of Engineering & Venture CTO
Keith Rives
CTO, Stealth Retail Data Science Startup
Recent News
2026-01-11
Company data provided by crunchbase