Staff Engineer - Recommendations

📋 Description

• Build data pipelines, backend services, and APIs powering recommendations and personalization.
• Develop data models and schemas for analytical and real-time workloads.
• Collaborate with data scientists, product managers, and engineers to capture and use behavioral
• Develop large-scale data processing workflows with Spark and Kafka.
• Advance personalization from heuristics to data-backed models.
• Contribute to backend architecture, APIs, caching, queues, and cloud orchestration.

🎯 Requirements

• 3+ years in software engineering, focused on data engineering or backend systems.
• Proven ETL/ELT pipeline design, build, and optimization experience.
• Strong SQL skills for analytical workloads and real-time access.
• Hands-on with Spark, Kafka, Hadoop, or Beam; cloud platforms at scale (AWS/GCP).
• Programming in Python, JavaScript/Node.js, MongoDB, Redis; cross-language skills.
• Experience with Elasticsearch, data warehousing, ML systems; scalable backend architecture.

🎁 Benefits

• 100% remote work with flexible hours and core collaboration times.
• Health benefits; 401(k) plan for eligible U.S. employees (where applicable).
• Stock options; generous paid holidays.
• Unlimited flexible vacation; paid parental leave.
• Opportunity to work on large-scale recommendation and personalization systems.
• Collaborative, distributed engineering environment with technical leadership opportunities.