About this role

Architect, build, and maintain next-generation data pipelines
Design and build robust, scalable ELT pipelines to ingest data from various sources into Snowflake
Own the dbt project structure, developing complex SQL-based data models
Manage the Snowflake environment to ensure cost-efficiency and performance
Champion data integrity and implement observability tools and alerts
Act as a technical lead for junior engineers, conducting code reviews, and establishing SQL best practices
Translate business requirements into technical specifications and data models

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience)
3+ years of professional experience in Data Engineering and Database Development with medical and prescription claims
2+ years of hands-on experience specifically with Snowflake (architecture, snowpipe, streams/tasks, and security)
1+ years of production experience with dbt (developing packages, macros, and incremental models)
Proficiency in Python for scripting, custom connectors, or orchestration tasks
Strong familiarity with Git flows and CI/CD pipelines for data (e.g., GitHub Actions, GitLab CI)

Data Engineer

Key skills