Director, Analytics Engineering (2 Openings)

📋 Description

• Design and implement intelligent, self-healing data pipelines that use AI and machine learning to
• Build and maintain centralized feature stores that enable reusable, consistent features across
• Develop curated data repositories optimized for data science and AI workflows, including training
• Create automated feature engineering pipelines that transform raw data into analytics-ready
• Partner with enterprise technology teams to optimize analytics platform architecture for
• Build scalable pipelines integrating diverse data sources, including sales, CRM, patient claims

🎯 Requirements

• Advanced degree in Computer Science, Data Engineering, or a closely related technical discipline
• 7+ years of professional experience in data engineering, machine learning engineering, AI
• 5+ years of experience leading teams responsible for enterprise-scale data platforms, analytics
• Expert knowledge of feature store technologies such as Feast, Tecton, SageMaker Feature Store, or
• Deep expertise with modern data platforms designed for machine learning and analytics workloads
• Strong programming and data-processing skills in Python, SQL, Spark, and PySpark

🎁 Benefits

• Annual base salary of $194,600–$361,400
• Performance-based cash incentive opportunity
• Eligibility for annual equity awards
• Comprehensive health benefits
• Life and disability insurance coverage
• 401(k) plan with company contribution and matching