Data Engineer

Описание: Iterable is an AI customer engagement platform for enterprise-scale customer data activation, cross-channel experiences, and engagement optimization. Its platform includes Nova Intelligence, an AI layer, and supports nearly 1,200 brands across more than 50 countries.

Задачи:

• Build and operate components of the next-generation data ingestion and activation platform, including source connectors, staging and transformation workflows, diffing and incremental sync logic, and integrations with Iterable bulk APIs • Improve pipeline reliability, observability, and recovery through metrics, dashboards, alerting, retries, and durable workflow execution • Develop and maintain Snowflake-based data pipelines and data-sharing workflows for analytics products and customer-facing data delivery • Contribute to schema evolution, data quality checks, and operational processes that reduce discrepancies and make data systems easier to support and extend • Partner with data science and machine learning engineers to build and harden data infrastructure for feature generation, feature serving, model inputs, and experimentation workflows • Make tradeoffs across batch and streaming patterns, raw-to-curated data modeling, performance, and maintainability as systems scale • Collaborate with product, frontend, platform, SRE, and customer-facing teams to define interfaces, debug issues, and deliver end-to-end solutions • Recommend improvements to existing processes and understand available…