Data & MarTech Engineer

AdZeta is building the signal infrastructure layer for modern growth teams. They are seeking a Data & MarTech Engineer to own the activation and data infrastructure that powers their platform, focusing on building systems that move customer data and deliver predictive value signals to advertising platforms.

Responsibilities:

• Design, build, and maintain outbound integrations with advertising platforms
• Develop production-grade Python services and APIs
• Build and maintain event-driven data pipelines
• Create scalable activation infrastructure that supports multiple customers
• Implement monitoring, logging, testing, and observability best practices
• Collaborate closely with our ML engineer to operationalize predictive models
• Contribute to architecture and platform decisions as an early team member
• Ship production code quickly while maintaining quality and reliability

Requirements:

• Hands-on experience with at least one advertising platform API (Google Ads Offline Conversion Import, Meta Conversions API, TikTok Events API) or equivalent server-side conversion tracking. This is the primary qualification for this role — candidates without this or closely adjacent experience (e.g., at Segment, Hightouch, Census, Stape, Elevar) should not proceed
• Professional experience building production applications in Python
• Experience integrating with external APIs in production environments
• Strong SQL skills
• Experience working with cloud infrastructure (GCP preferred, AWS acceptable)
• Experience building systems with retry logic, error handling, and monitoring
• Comfortable working in a startup environment with high ownership and autonomy
• Comfortable with AI-assisted development workflows (Claude Code, Cursor, Copilot) — we provide generous tooling budgets and expect engineers to leverage AI to accelerate development
• Experience with Shopify APIs and webhooks
• Terraform or Infrastructure as Code experience
• BigQuery experience
• Event-driven architectures and message queues
• Docker and containerized deployments
• GTM Server-Side implementation experience
• Identity resolution, customer matching, or audience activation experience