Senior MADTech Engineer

AgreeYa • Irving, TX

6d • Hybrid

About The Position

AgreeYa is seeking a hands-on Senior MADTech Engineer to work at the intersection of AI, real-time data streaming, and MarTech execution. The engineer will work closely with the technical lead, implementation teams, and strategic technology partners, including Google, GrowthLoop, and MetaRouter.

The role involves building and optimizing production-grade, low-latency pipeline components for real-time event ingestion and data processing across Pub/Sub, BigQuery, Cloud Spanner, Vertex AI, and Google Reasoning Engine. The engineer will also develop and deploy event-streaming pipelines, API integrations, and tag-routing systems, and integrate batch and real-time data feeds and downstream marketing and advertising platforms.

The position is based in Irving, Texas, with a hybrid work model requiring three days in the office. AgreeYa is a global systems integrator established in 1999, headquartered in Folsom, California, with more than 2,200 staff across its offices and more than 500 client organizations. AgreeYa is an equal opportunity employer.

Requirements

• At least 7 years of hands-on software or data engineering experience in modern cloud environments; GCP is preferred.
• Strong hands-on experience with Python, BigQuery, Cloud Spanner, and Pub/Sub.
• Experience building application-layer solutions within the Google Cloud and Vertex AI ecosystem.
• Hands-on experience developing and deploying real-time event-streaming pipelines, API integrations, and tag-routing systems.
• Experience with MetaRouter, Segment, Tealium, or similar customer/event data-routing platforms.
• Experience integrating batch and real-time data feeds into BigQuery and Cloud Spanner.
• Working knowledge of Google Reasoning Engine and experience building or optimizing agentic decisioning logic.
• Experience integrating with GrowthLoop for audience membership or segment syndication and Optimizely for feature flags and targeting.
• Strong understanding of real-time versus batch architecture, low-latency processing, data privacy, and system reliability.
• Strong collaboration skills, including experience participating in code reviews, architectural discussions, standups, and joint engineering sessions.

Nice To Haves

• Experience working with Google, GrowthLoop, and MetaRouter ecosystems.
• Experience with Vertex AI or Reasoning Engine and AI-driven decisioning.
• Experience with MarTech, AdTech, marketing automation, audience segmentation, and dynamic optimization platforms.
• Experience with Java or Go in addition to Python.
• Experience integrating downstream platforms such as REACH, GMP, Ad-Tech, and Real-Time App Overlays.
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field is preferred.

Responsibilities

• Build and optimize core pipeline components for real-time event ingestion and data processing using Pub/Sub, BigQuery, Cloud Spanner, Vertex AI, and Google Reasoning Engine.
• Develop and deploy real-time event-streaming pipelines, API integrations, and tag-routing systems.
• Integrate batch and real-time data feeds into BigQuery and Cloud Spanner.
• Build and optimize agentic decisioning logic using Google Reasoning Engine.
• Integrate with GrowthLoop for audience membership and segment syndication, and with Optimizely for feature flags and targeting.
• Integrate downstream platforms such as REACH, GMP, Ad-Tech, and Real-Time App Overlays.
• Collaborate with the technical lead, implementation teams, and strategic technology partners.
• Participate in code reviews, architectural discussions, standups, and joint engineering sessions.
• Develop low-latency, production-grade solutions with attention to data privacy and system reliability.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior