Senior Data Engineer, Events

Solid experience with data pipelines and event-driven architectures at scale Proficiency in Go or another backend language, with the ability to quickly adapt to new codebases Strong knowledge of distributed systems, APIs, and messaging platforms like Pub/Sub Hands-on experience with BigQuery or similar data warehouses for analytics A track record of collaborating with cross-functional teams and contributing to production-critical systems Familiarity with GCP and Kubernetes in production environments Exposure to frontend systems (React, Rails) and how they interact with backend data pipelines Experience integrating with customer-facing APIs or analytics connectors Background in onboarding to inherited systems and driving re-architecture where needed

Designing and maintaining reliable pipelines for ingesting and processing real-time and batch data Owning and optimizing systems that run at massive scale, ensuring low-latency event delivery and high reliability Quickly getting up to speed with an established production system, and helping teammates do the same Partnering with backend, frontend, and product teams to align technical decisions with customer-facing needs Contributing to architectural improvements that make our event ingestion platform more robust, efficient, and easy to extend Sharing knowledge across the team and mentoring new engineers to help them grow