Staff Engineer - Recommendations

📋 Description

• Design, build, and optimize scalable data pipelines, backend services, and APIs for
• Model data to support analytical workloads and real-time personalization.
• Collaborate with data scientists, PMs, and engineers to capture and provide data for product
• Develop and maintain large-scale data processing workflows with Spark and Kafka.
• Advance recommendation capabilities with data-backed personalization models.
• Contribute to backend architecture, including REST and WebSocket APIs, caching, queues, and cloud

🎯 Requirements

• 3+ years in professional software engineering, strong in data engineering, backend systems, or
• Proven ETL/ELT data pipeline design, build, and optimization experience.
• Strong SQL skills for analytical workloads and real-time access.
• Hands-on with Spark, Kafka, Hadoop, or Beam.
• Experience with cloud platforms at scale, especially AWS or Google Cloud.
• Programming across Python, JavaScript/Node.js, MongoDB, Redis; polyglot across languages.

🎁 Benefits

• 100% remote with flexible hours and core collaboration window.
• Health benefits.
• 401(k) plan for eligible US employees.
• Stock options.
• Generous paid holidays.
• Unlimited and flexible vacation time.