Staff Engineer - Recommendations

📋 Description

• Design, develop, maintain, and optimize scalable data pipelines, backend services, and APIs for
• Build data models and schemas for analytical and real-time personalization workloads.
• Collaborate with data scientists and product teams to capture and provide data for experiences.
• Develop large-scale data processing workflows with Spark and Kafka.
• Advance personalization with data-driven models beyond basic heuristics.
• Contribute to backend architecture, including REST and WebSocket APIs, caching, queues, and cloud

🎯 Requirements

• 3+ years of professional software engineering with data engineering/backend focus.
• Experience designing production ETL/ELT pipelines.
• Strong SQL for analytical workloads and real-time access.
• Hands-on with Spark, Kafka, Hadoop, or Beam.
• Cloud experience at scale, especially AWS or Google Cloud.
• Programming with Python, JavaScript/Node.js; MongoDB/Redis experience.

🎁 Benefits

• 100% remote work with flexible hours and core collaboration time.
• Health benefits.
• 401(k) plan for eligible U.S. employees.
• Stock options.
• Generous paid holiday schedule.
• Unlimited and flexible vacation time.