[Remote] Data Engineer at Timescale

The Data Engineer will design, build, and maintain scalable data pipelines and ETL/ELT processes to ingest, transform, and deliver data from various sources including application databases, event streams, and third-party APIs. They will architect and optimize data warehouse solutions, ensuring efficient storage, retrieval, and processing of large-scale time-series and analytical datasets. The role involves implementing and maintaining data quality frameworks, monitoring systems, and alerting mechanisms to ensure data accuracy, completeness, and reliability across all data systems. Collaboration with Product Managers, Marketing, Finance, and Sales is crucial to understand data requirements and build infrastructure that enables self-service analytics and advanced data exploration. Furthermore, the Data Engineer will optimize database performance, including query optimization, indexing strategies, and capacity planning, and work closely with Engineering teams to implement event tracking, logging, and instrumentation. Support for real-time data processing requirements and streaming analytics use cases, leveraging Timescale's time-series capabilities, is also part of the responsibilities, alongside championing data engineering best practices and maintaining data documentation, schemas, and governance processes.