Analytics Engineer - X

📋 Description

• Build and maintain data pipelines for high-volume datasets (Spark, Kafka, Flink)
• Develop quantitative models and statistical frameworks for experimentation and forecasting
• Create data infrastructure ensuring data quality and accessibility
• Collaborate with product engineering, product, and operations to production-grade systems
• Conduct A/B tests, causal analysis, and performance evaluations
• Implement monitoring and automation for real-time decision support

🎯 Requirements

• 4+ years building production data pipelines at scale
• Proficient in Python, SQL, and distributed computing (Spark, Flink, Hadoop)
• Expertise in statistical methods, predictive modeling, experimental design
• Cloud services for data storage, processing, and orchestration
• Bachelor's or Master's in CS, Statistics, Applied Math, or related field
• Excellent problem-solving with focus on business impact through reliable systems

🎁 Benefits

• $180,000 - $440,000 USD
• Equity, medical, vision, dental, 401(k), disability, life insurance, discounts and perks