Senior Data Engineer (Remote)

Position Overview
UPLabs.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. Were 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. Youll 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.