Staff Engineer - Recommendations

📋 Description

• Design, build, and optimize scalable data pipelines, backend services, and APIs for recommendations
• Create data models for analytical workloads and real-time personalization.
• Collaborate with data scientists, PMs, and engineers to capture and use data for product
• Develop large-scale data processing workflows using Spark and Kafka.
• Advance personalization from heuristics to data-backed models.

🎯 Requirements

• 3+ years of professional software engineering in data engineering/backend or scalable SaaS.
• Proven ETL/ELT pipeline design and optimization experience.
• Strong SQL skills for analytics and real-time access.
• Hands-on with Spark, Kafka, Hadoop, or Beam.
• Experience with cloud platforms at scale (AWS or Google Cloud).
• Programming: Python, JavaScript/Node.js; experience with MongoDB/Redis.

🎁 Benefits

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