Staff Data Engineer

📋 Description

• Define data architecture and platform strategy, leading design across pipelines, warehouses, and
• Build and optimize scalable data pipelines supporting batch and real-time processing
• Define and enforce data governance, quality standards, and compliance frameworks across the platform
• Build monitoring, logging, and alerting for data pipelines and services, and contribute to CI/CD
• Drive data platform modernization, optimizing for performance, cost, and scalability
• Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern

🎯 Requirements

• 7+ years of professional data engineering experience, with experience leading complex data platform
• Strong system architecture background with expertise in distributed data systems
• Expert proficiency in Python, Scala, and SQL
• Deep expertise with cloud-native data platforms and enterprise data warehousing
• Strong expertise in data pipeline orchestration and processing
• Strong experience with streaming platforms and real-time data processing (e.g., Kafka, Kinesis

🎁 Benefits

• Every role here contributes directly to that mission. Here, you shape how AI systems integrate into
• We ship production-ready AI in 30 to 45 days.
• Equal employment opportunities for all job applicants and employees.