Up Labs
Sr Data Engineer (LATAM Remote)
USA · Senior · Full-time
Sponsorship not specifiedDetected 1 day ago
PythonSQLPostgreSQLMongoDBSnowflakeAWSAzureCloud PlatformsMachine LearningSparkdbtData EngineeringIncident Response
About the role
- Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products.
- Improve performance, scalability, and cost efficiency of data workloads by tuning SQL queries, optimizing storage/compute patterns, and standardizing best practices across projects.
Responsibilities
- UPLabs Summary We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods.
- 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.
Requirements
- Strong data engineering expertise, including designing and operating data pipelines, data models, and batch/stream processing workflows in a production environment.
- Proficiency with Python for building data pipelines, automation, and data tooling.
- Experience working with one or more major cloud platforms: AWS, Azure, or GCP.
- Working knowledge of Apache Spark for large-scale data processing.
- Required Skills Strong data engineering expertise, including designing and operating data pipelines, data models, and batch/stream processing workflows in a production environment.
Nice to have
- Preferred Skills Experience using Snowflake for cloud data warehousing, modeling, and analytics workloads.
Skills
- Advanced SQL skills for data transformation, analysis, and performance tuning.
Benefits
- 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.
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This listing is sourced directly from Up Labs's careers page and normalized into a canonical job model.