Key skills
SQLData EngineeringAnalyticsBISnowflakeAirflowdbtAWSVaultS3CloudWatchPerformance Optimization
About this role
Cleerly is a healthcare company revolutionizing heart disease diagnosis and treatment. They are seeking a Data Engineer to design, develop, and maintain data models within Snowflake, collaborating closely with business stakeholders to ensure reliable data structures and support analytics across the organization.
Responsibilities:
- Own the design, development, and maintenance of data models within Snowflake that serve as the foundation for business metrics, reporting, and analytics across the organization
- Partner closely with business stakeholders to translate operational definitions and KPIs into reliable, well-documented data structures
- Build and maintain dbt models that power our core metrics layer, ensuring accuracy, consistency, and reusability across teams
- Manage and evolve our Snowflake data warehouse, including schema design, performance optimization, and data organization best practices
- Collaborate with analytics and BI teams to ensure the data layer supports self-serve reporting and business review cadences
- Contribute to data modeling standards and best practices that allow the team to scale with confidence
- Participate in strategic discussions around data architecture and help evaluate trade-offs across build vs. buy decisions
Requirements:
- 5+ years of experience in a data engineering or analytics engineering role
- Strong proficiency in SQL and hands-on experience with Snowflake, including warehouse management, query optimization, and data modeling patterns
- Experience with dbt (Core or Cloud) for building and maintaining modular, tested transformation pipelines
- Demonstrated ability to work closely with business stakeholders to define and implement metrics and data definitions — not just build pipelines
- Solid understanding of dimensional modeling, data vault, or other warehouse modeling approaches
- Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect - you'll be creating and improving the DAGs that drive our Snowflake pipelines end to end
- Hands-on experience with AWS data services - S3, MWAA, and CloudWatch - supporting production data pipelines in a cloud-native environment
- Ability to work through ambiguity and exercise good judgment when translating loosely defined business requirements into structured data models
- Bachelor's degree in Computer Science, Engineering, Math, or a related field, or equivalent practical experience