🚀 Senior Data Engineer (Remote NA, LATAM)

Strong software development background with modern programming languages. Proven experience using AI coding tools regularly in production environments. Eager to learn and lean into our existing Typescript/Javascript Node.js codebase. Hands-on experience designing and operating large-scale data processing systems. Familiarity with message queue systems, Spark, Docker, all types of databases, and data storage engines. Comfortable working with unstructured or inconsistent data. Excellent written and verbal English skills, especially in remote collaboration. Clean, maintainable code style with strong emphasis on testing and peer review. Eager to learn, open to feedback, and naturally collaborative in a remote setting.

Architect and maintain robust data pipelines to transform diverse data inputs into a cohesive structure. Integrate data from Postgres, Redis, MongoDB, Kafka, and other event sources into a unified platform. Build APIs with AI assistance to enable secure access to consolidated insights. Create dashboards and internal tools for exploration, monitoring, and debugging with AI assistance. Identify behavior clusters and detect patterns within large datasets. Guide architectural decisions and advise on data questions across engineering teams.