Lead Engineer, Data Engineering

About the Role

Key Responsibilities

• Drive the architecture and development of large-scale data processing systems and business intelligence applications.
• Lead critical data architecture design and development activities for our platforms.
• Architect and build data solutions using Kafka and Flink to support real-time decision-making across the organization.
• Craft sophisticated data models using SQL and dbt on the Snowflake Platform for large-scale data warehouse development.
• Lead the development of data products and services including dimensional data models, semantic layers, predictive models, and recommender systems.
• Lead a functional team, guiding junior engineers and championing best practices in engineering and data strategy.

Requirements

• Bachelor's degree in a STEM field.
• 10+ years of experience with SQL on large-scale analytics platforms.
• 10+ years in software development, including requirements gathering, coding, and testing.
• 6+ years of hands-on experience with Python, version control systems, and data pipelines.
• 5+ years managing GitHub repositories and deploying cloud infrastructure using Terraform.
• 3+ years of experience with statistical methods, machine learning, or artificial intelligence to provide business insights or automate workflows.

Nice to Have

• Experience with dbt, Dagster, and Snowflake.
• Master's degree in a STEM field.
• 12+ years of related experience in data science or data engineering.

Qualifications

• Bachelor's degree in a STEM field.
• Master's degree in a STEM field (preferred).

Benefits & Perks

• Opportunity to work with industry-leading data engineering experts.
• Solve real-world healthcare challenges.
• Collaborative, fast-paced environment.
• Grow your career in a world-class tech ecosystem.
• Be part of a culture driven by excellence, diversity, and inclusion.