Staff Engineer - Recommendations

📋 Description

• Build data pipelines, backend services, and APIs for recommendations, content discovery, groups
• Develop data models and schemas for analytical workloads and real-time personalization.
• Collaborate with data scientists, product managers, and engineers to capture and provide relevant
• Develop and maintain large-scale data processing workflows using Spark and Kafka.
• Evolve recommendation capabilities toward data-backed personalization models.
• Contribute to backend architecture, including REST and WebSocket APIs, caching, queues, and cloud

🎯 Requirements

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

🎁 Benefits

• 100% remote work with flexible hours and core collaboration times.
• Health benefits.
• 401(k) plan for eligible U.S. employees.
• Stock options.
• Generous paid holidays; unlimited and flexible vacation time.
• Paid parental leave.