Staff Data Engineer

Role overview This staff-level data engineering role shapes the platform that collects and serves data for analytics, product, and commercial use. It combines hands-on system building with technical direction across teams, with a focus on reliable data infrastructure and AI-assisted development and self-service analytics.

Responsibilities - Set multi-quarter technical direction for the data platform and turn broad initiatives into clear plans with aligned scope. - Design and build scalable data systems for analytical and operational needs; review technical proposals and code to guide sound design choices. - Work with technical and non-technical partners to understand their needs and support adoption of platform capabilities. - Improve system performance, reliability, observability, and scalability, and introduce useful infrastructure or software patterns. - Advance AI-assisted development and self-service analytics, while sharing knowledge through documentation, reviews, talks, mentoring, and standards. - Join the data engineering on-call rotation and diagnose complex issues across systems and services.

Requirements - At least 8 years building data or backend systems, including leading technical work across multiple teams. - Strong experience with AI-assisted software development and Python for production data pipelines and maintainable software. - Expertise with SQL and cloud data warehouses such as Snowflake or BigQuery. - Experience building software systems or partnering closely with the teams that build them. - Proficiency with containers and orchestration, infrastructure as code, Kubernetes or Kafka, streaming pipelines, and a major cloud platform. - Clear written and verbal communication, with the ability to influence across teams and help others develop.

Nice to have - Experience with change data capture, front-end behavior tracking, MLOps platforms, or AI self-service tools.

Benefits and work setup - Remote work across the United States or work from an office in Manhattan, New York. - The listing describes vacation, volunteer, technology, home-office, and learning support, along with health coverage, retirement matching, parental leave, and family-building benefits.