Lead Analytics Engineer - Data Modeling & Quality

📋 Description

• Own data modeling and DBT development across ingestion, bronze, and silver layers using SQL and
• Build data quality into the modeling layer with DBT tests and validation checks.
• Optimize SQL and data models, improve performance, and design with Data Engineering on Hudi.
• Lead data quality investigations across data quality, attribution, hierarchy, and customer-specific
• Design and maintain quality monitors for null rates, distributions, future dates, and referential
• Validate healthcare data and support connector implementation and promotions.

🎯 Requirements

• Education: Bachelor's or Master's in CS, Statistics, Business, Economics, or related field, or
• Advanced SQL: window functions, CTEs, aggregations, performance tuning for columnar DBs.
• DBT expertise: models, tests, macros, YAML, with incremental modeling experience.
• Healthcare data knowledge: claims data, EHR, and data-quality dimensions.
• Data quality expertise: systematic issue investigation and validation design.
• Technical toolkit: DBT-Spark, Amazon Redshift, Apache Hudi, AWS Athena, Airflow, Git/GitHub

🎁 Benefits

• Salary: $160,000–$185,000 per year.
• Fully remote: Flexible remote work within the United States.
• Meaningful impact on healthcare data quality and decision-making.
• Technical growth across data modeling, healthcare analytics, and AI-first workflows.
• Leadership exposure and professional development opportunities.
• Mission-driven culture focused on improving healthcare outcomes.