Top Tech Jobs & Startup Jobs

As a Senior Data Engineer, you'll design and build high-performance systems for programmatic advertising, ensuring efficient processing of millions of ad transactions in real-time using AI technologies.

Design, build, and maintain scalable data pipelines and warehouses to ingest ad-tech and ancillary data, transform raw events into analytics-ready datasets, implement data quality monitoring, support BI and analytics teams, and ensure GDPR/CCPA compliance for real-time and batch advertising analytics.

Build and scale ad-tech data infrastructure and ETL/ELT pipelines to process billions of events from SSPs, DSPs and ad servers. Ingest, normalize, model, and warehouse data for real-time analytics and BI, implement data quality and privacy controls, and support analytics and executive teams.

Design, build, and maintain scalable ETL/ELT pipelines that ingest and normalize ad-tech and ancillary data. Build and optimize data warehouses/lakes, implement data quality monitoring, support BI/analytics teams, and ensure GDPR/CCPA compliance for ad-tech analytics at scale.

Provide L2/L3 technical support for a cloud SaaS cybersecurity product: troubleshoot REST APIs, distributed systems, and cloud environments; lead technical investigations and live troubleshooting; collaborate with engineering and product teams; maintain documentation, automate processes, and improve support operations using AI and diagnostic tools.

Build and scale ad-tech data infrastructure and pipelines to process billions of events. Ingest and normalize SSP/DSP/GAM data, develop ETL/ELT workflows, create analytics-ready data models, maintain data warehouses/lakes, implement data quality monitoring, and ensure GDPR/CCPA compliance to support BI and analytics teams.

Build and scale ad-tech data infrastructure and ETL/ELT pipelines to ingest, normalize, and transform massive ad server and ancillary data. Maintain data warehouses and lakes, implement data quality and monitoring, create analytics-ready models and metrics for campaign and supply analysis, support BI teams, and ensure data privacy compliance.

Design, build, and scale ad-tech data pipelines and warehouses to process billions of events. Ingest and normalize SSP, DSP, and GAM data, develop ETL/ELT workflows and data models, implement data quality monitoring, support BI teams, and ensure data privacy compliance for real-time analytics and campaign optimization.

Build and scale ad‑tech data infrastructure and pipelines to ingest, normalize, and transform large volumes of SSP/DSP/GAM log‑level data into analytics‑ready datasets, maintain warehouses and lakes, implement data quality and privacy controls, and support BI/analytics teams for real‑time campaign and revenue insights.

Design, build, and scale ETL/ELT data pipelines and data warehouses for ad-tech analytics. Ingest and normalize SSP/DSP and GAM data, implement data models and quality monitoring, support BI/analytics teams, and ensure GDPR/CCPA compliance.