7+ years of hands-on software/data engineering experience in modern cloud environments; GCP preferred.
Strong hands-on experience with Python, BigQuery, Cloud Spanner, and Pub/Sub.
Experience building application-layer solutions within the Google Cloud / 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.
Strong understanding of real-time vs. batch architecture, low-latency processing, data privacy, and system reliability.
Responsibilities
Build and optimize core pipeline components for real-time event ingestion.
Develop production-grade solutions focusing on low-latency performance.
Integrate batch and real-time data feeds into BigQuery and Cloud Spanner.
Collaborate with technical leads and implementation teams on project execution.
Participate in code reviews, architectural discussions, and joint engineering sessions.
Benefits
Hybrid working model with 3 days in the office.
Opportunity to work with leading technology partners like Google and MetaRouter.
Engagement in cutting-edge projects at the intersection of AI and MarTech.
Collaborative work environment with a focus on innovation and optimization.
Full Job Description
Job Title :: Senior MADTech Engineer Job Location :: Irving, TX Working Model: Hybrid - 3 days in office
Description:
Job Summary AgreeYa is global Integrator and seeking Senior MADTech Engineer who thrives at the intersection of AI, real-time data streaming, and MarTech execution. This is a highly hands-on engineering role working closely with the technical lead, implementation teams, and strategic technology partners including Google, GrowthLoop, and MetaRouter.
The engineer will build and optimize core pipeline components spanning real-time event ingestion, Pub/Sub, BigQuery, Cloud Spanner, Vertex AI, and Google Reasoning Engine, with a strong focus on low-latency, production-grade solutions.
Required Skills
7+ years of hands-on software/data engineering experience in modern cloud environments; GCP preferred.
Strong hands-on experience with Python, BigQuery, Cloud Spanner, and Pub/Sub.
Experience building application-layer solutions within the Google Cloud / 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/optimizing agentic decisioning logic.
Experience integrating with GrowthLoop for audience membership/segment syndication and Optimizely for feature flags and targeting.
Strong understanding of real-time vs. batch architecture, low-latency processing, data privacy, and system reliability.
Strong collaboration skills with experience participating in code reviews, architectural discussions, standups, and joint engineering sessions.
Preferred Skills
Experience working with Google, GrowthLoop, and MetaRouter ecosystems.
Experience with Vertex AI / 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.
Education
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field preferred.
