Staff Engineer - Recommendations

📋 Description

• Design, develop, and optimize scalable data pipelines, backend services, and APIs for
• Build data models and schemas for analytics workloads and real-time personalization.
• Partner with data scientists, product managers, and engineering teams to ensure data is captured
• Develop and maintain large-scale data processing workflows using Spark and Kafka.
• Evolve recommendation capabilities toward data-backed personalization models.
• Contribute to backend architecture and implementation, including REST and WebSocket APIs, caching

🎯 Requirements

• 3+ years of professional software engineering experience, with a focus on data engineering, backend
• Designing, building, and optimizing production-grade ETL/ELT data pipelines.
• Strong SQL skills for analytical workloads and high-throughput real-time access.
• Hands-on with Spark, Kafka, Hadoop, or Beam.
• Experience with cloud platforms at scale, particularly AWS or Google Cloud.
• Programming across Python, JavaScript/Node.js, MongoDB, and Redis.

🎁 Benefits

• 100% remote with core collaboration hours
• Health benefits
• 401(k) plan for eligible U.S. employees
• Stock options
• Unlimited and flexible vacation time
• Paid parental leave