Senior Data Engineer - Worldwide, Part Time

Role Summary: We are looking for a Senior Data Engineer to lead the development of scalable, reliable, and efficient data solutions in a cloud-first environment. This role requires a deep understanding of ETL/ELT processes, AWS data services, and pipeline orchestration to support enterprise-grade analytics and decision-making systems. You will work closely with data, analysts, and engineers to transform raw data into actionable insights and support the infrastructure that powers data-driven products. This is a unique opportunity to join a high-growth startup on a 100% equity-based compensation model , aligning your success directly with the company's. You'll be part of the foundational team and directly participating in long-term value creation. Key Responsibilities: Design, build, and maintain ETL/ELT pipelines that process large-scale data efficiently and reliably. Develop and manage cloud-native data pipelines using AWS Glue, Python, and SQL. Orchestrate data workflows and stateful jobs using AWS Step Functions for robust process management and automation. Store and manage large datasets in Amazon S3 with efficient partitioning, data formats (e.g., Parquet), and access control strategies. Design and optimize relational data structures in PostgreSQL, ensuring data accuracy and performance. Implement data quality monitoring, logging, and alerting within all pipeline processes. Collaborate with cross-functional teams to define data requirements and ensure consistency, availab