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Develop high-performance Rust infrastructure for Big Data systems. Build native execution engines, accelerate distributed systems such as Spark, Hadoop, and Ray, and optimize performance through SIMD, cache locality, zero-copy I/O, memory management, concurrency, and low-level systems architecture. The role requires end-to-end ownership of complex performance-critical components and collaboration in a high-autonomy environment.

Design and build scalable real-time and batch data pipelines for programmatic advertising data. Ingest, normalize, and model bid streams, impressions, revenue, and partner performance data from SSPs, DSPs, ad servers, and reporting APIs. Maintain data warehouses and lakes, implement quality monitoring and anomaly detection, support BI teams, and ensure GDPR and CCPA compliance. The role involves high-volume, low-latency systems and collaboration on yield optimization and auction analytics.

Designs and builds scalable real-time and batch data pipelines for programmatic advertising, processing bid streams, impressions, revenue, and auction data. Ingests and normalizes data from SSPs, DSPs, ad servers, and reporting APIs; develops ETL/ELT workflows, data models, warehouses, and lakes. Implements data quality monitoring, anomaly detection, privacy compliance, and analytics-ready infrastructure while supporting BI and analytics teams.

Design and build scalable real-time and batch data pipelines for programmatic advertising, processing bid streams, impressions, revenue, and auction data. Develop ETL/ELT workflows, data models, warehouses, and lakes supporting yield optimization and analytics. Integrate SSPs, DSPs, ad servers, and reporting APIs; implement data quality monitoring, anomaly detection, privacy compliance, and performant infrastructure for BI and analytics teams.

Develop high-performance, low-level Rust infrastructure for Big Data systems. Responsibilities include building native Rust execution engines, accelerating distributed systems such as Apache Spark, Hadoop, and Ray, and optimizing performance through SIMD, cache locality, zero-copy I/O, concurrency, memory management, and hardware-aware design. The role requires end-to-end ownership of complex systems components, rapid codebase analysis, and effective work in highly autonomous environments.

Design and maintain scalable real-time and batch data pipelines for programmatic advertising data. Ingest and normalize SSP, DSP, ad server, and reporting API data; build warehouses, data lakes, ETL/ELT workflows, auction analytics models, and yield optimization datasets. Implement data quality monitoring, anomaly detection, privacy compliance, and infrastructure supporting BI and analytics teams.

Develop high-performance Rust infrastructure for Big Data systems. Responsibilities include building native execution engines, accelerating distributed systems such as Apache Spark, Hadoop, and Ray, and optimizing performance through SIMD, cache locality, zero-copy I/O, memory management, concurrency, and hardware-aware techniques. The role requires end-to-end ownership of complex systems components and collaboration in a highly autonomous environment.

Develop high-performance, low-level Rust systems for Big Data infrastructure. Responsibilities include building native execution engines, accelerating distributed systems such as Apache Spark, Hadoop, and Ray, and optimizing performance through SIMD, cache locality, zero-copy I/O, memory management, concurrency, and hardware-aware tuning. The role requires end-to-end ownership of complex systems components, rapid understanding of unfamiliar codebases, and effective collaboration in a highly autonomous engineering environment.

Develop high-performance Rust infrastructure for Big Data systems. Responsibilities include building native execution engines, accelerating distributed systems such as Apache Spark, Hadoop, and Ray, and optimizing performance through SIMD, cache locality, zero-copy I/O, concurrency, memory management, and low-level system architecture.

Design and build scalable real-time and batch data pipelines for programmatic advertising, processing bid streams, impressions, revenue, and auction data. Ingest and normalize data from SSPs, DSPs, ad servers, and reporting APIs; develop ETL/ELT workflows, data models, warehouses, and lakes for yield optimization and partner analytics. Implement data quality monitoring, anomaly detection, privacy compliance, and performant datasets supporting BI and analytics teams.