Senior Data Engineer (Remote)

Position OverviewUPLabs.us 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 Data Engineer to join our growing team and contribute to our mission of launching the next wave of successful startups. 
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

• Design, develop, and optimize data pipelines and systems using Databricks/Snowflake.
• Implement Python-based solutions for data processing and analysis.
• Manage and maintain highly efficient data architectures, ensuring scalability and performance.
• Develop and maintain APIs (GraphQL, gRPC) to serve data to internal or external systems.
• Build and refine CI/CD processes to improve data workflows and ensure seamless deployments.
• 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, with a preference for Azure.

Qualifications and Requirements

• Snowflake experience or Databricks expertise for managing and optimizing large-scale data systems.
• Python proficiency for data processing, scripting, and automation.
• Strong knowledge of data engineering best practices, frameworks, and architectures.
• Exceptional SQL proficiency for querying and managing complex data structures.
• Experience with cloud services, particularly one or more of the major providers (Azure preferred).
• Familiarity with APIs: experience working with GraphQL or gRPC is highly desirable.