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Description:
Leap is a rapidly growing benefits solutions company focused on employer specialty pharmacy, aiming to improve access to therapies and reduce costs for employers.
The Senior Data Engineer will own data pipelines, warehouse, and reporting infrastructure, collaborating with clinical ops, business operations, and leadership.
Requirements:
Proficiency in Python, SQL, and dbt; experience with BigQuery, Snowflake, or similar cloud warehouses; familiarity with orchestration tools (Airflow, Dagster, Prefect).
Proven experience building reliable data pipelines and well-documented data models.
Experience with AI tools and building data infrastructure for AI systems.
Background as an early employee or in building data stacks from scratch.
Preferred: Experience in healthcare or HIPAA, familiarity with ingestion tools (Fivetran), CRM integrations, and cloud infrastructure (GCP, AWS).
Benefits:
Opportunity to work in a small engineering team with high ownership and impact.
Commitment to diversity and inclusion in the workplace.