As a Data Engineer on the Feature Platform team, you’ll play a critical role in building the data foundations that power machine learning, experimentation, and optimization across our ads ecosystem. You’ll operate at the core of our ML infrastructure, transforming raw, high-volume event data into reliable, production-grade feature datasets used for bidding, attribution, and ranking systems. Design, build, and operate scalable, production-grade data pipelines and curated datasets powering ads optimization and ML systems. Own end-to-end offline data flows from raw event ingestion to feature-ready datasets ensuring correctness, reproducibility, and SLA compliance. Develop and maintain large-scale batch and streaming workflows (Python / Java / SQL) with strong focus on performance, cost-efficiency, and reliability. Contribute to our Feature Store platform, including collaboration with the high-throughput online serving layer (Go-based services). Translate complex product and monetization logic into durable, extensible data models serving analytics and machine learning use cases. Improve observability, validation frameworks, and data quality standards across pipelines. Drive architectural decisions and engineering best practices within the Feature Platform team.