Data Engineer

The Data Engineer will build and maintain data pipelines and infrastructure, designing ETL processes, ensuring data quality, and optimizing data storage. Requires strong programming and database skills.

Builds and maintains data pipelines for model training and monitoring, ensuring data quality and accessibility for ML teams. Optimizes pipeline performance and manages data flow.

Designs and builds data pipelines and infrastructure to support analytics and product features. Requires expertise in SQL, Python, and cloud data platforms like AWS and Snowflake.

This Staff Software Engineer role involves designing and maintaining scalable backend data pipelines for processing large-scale content catalogs using Apache Spark. The engineer will build high-throughput data processing workflows, implement RESTful APIs, and integrate ML models into production. The role requires experience with distributed systems, cloud platforms, and data modeling.

This full-stack engineering role involves developing and enhancing PartnerTap's web application, working on both frontend and backend components to improve user experience and platform functionality.

This backend engineering role focuses on developing backend services and integrations for PartnerTap's partner ecosystem platform, supporting co-selling and account mapping capabilities.

This security engineering role is responsible for ensuring the security and compliance of PartnerTap's platform, protecting customer data and maintaining trust through robust security measures.