Data Engineer

• Build and maintain the tooling and infrastructure that lets data champions ship pipelines autonomously
• Own monitoring, alerting, and dataops practices that keep the platform reliable as it scales
• Operate Kafka as the message broker powering cross-team event-driven architecture
• Deploy, own and maintain infrastructure components (services, OSS helm charts) with Terraform and Kubernetes
• Run high-throughput, low-latency processing on Databricks/Spark and cloud-native services on AWS
• Support dbt for transformations and Airflow (or similar) for orchestration across the platform
• Partner with product, analytics, and infrastructure teams on design and delivery of platform improvements
• Troubleshoot production issues and drive the fixes
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.

Who You Are