Staff Engineer - Recommendations

📋 Description

• Design, develop, maintain, and optimize scalable data pipelines, backend services, and APIs for
• Build data models and schemas for analytical workloads and real-time personalization.
• Collaborate with data scientists, product managers, and engineers to ensure relevant data capture
• Develop and maintain large-scale data processing workflows (e.g., Spark, Kafka).
• Evolve recommendation capabilities toward data-backed personalization models.
• Contribute to backend architecture, including REST/WebSocket APIs, caching, queues, and cloud

🎯 Requirements

• 3+ years of professional software engineering experience, focused on data engineering, backend
• Proven ETL/ELT data pipeline design, build, and optimization experience.
• Strong SQL skills for analytical workloads and real-time access.
• Hands-on experience with big data tech (Spark, Kafka, Hadoop, Beam).
• Experience with cloud platforms at scale (AWS or Google Cloud).
• Programming in 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 holiday schedule.
• Unlimited and flexible vacation time.