Data Engineer / Data Scientist

Gameday Men's Health is a fast-growing, multi-location clinic system specializing in men's health treatments. They are hiring a Senior Data Engineer / Data Scientist to build and maintain their unified data platform, focusing on data infrastructure and analytics that drive business decisions.

Responsibilities:

• Architect, build, and maintain scalable data models and pipelines in Snowflake to power Gameday Central and downstream analytics
• Design and manage Snowflake warehouse architecture, including schemas, virtual warehouses, roles, and resource monitors
• Develop complex SQL queries, views, and transformations
• Build and maintain ETL/ELT pipelines and data integrations across source systems (such as Electronic Health Records System, GoHighLevel, and payments)
• Optimize Snowflake performance and cost efficiency (query tuning, clustering, workload management)
• Ensure data integrity, governance, and security compliance across the platform
• Build and analyze trend reports based on department-level KPIs across Finance, Operations, Sales, and Marketing
• Measure marketing performance, including campaign ROI, funnel analysis, attribution modeling, and customer segmentation
• Analyze location-level and same-store sales performance, retention, and churn across the clinic network
• Develop forecasting and predictive models to support business growth
• Support AI and advanced analytics initiatives
• Design, develop, and enhance data visualizations and dashboards across our reporting systems and tools
• Partner cross-functionally to translate business requirements into data solutions
• Identify automation opportunities and improve reporting efficiency

Requirements:

• Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field
• 6+ years of experience spanning data engineering and analytics or data science
• Strong hands-on experience with the Snowflake platform, including: Data warehouse design and architecture, Advanced SQL development, Data modeling (star/snowflake schemas), Query performance tuning, Role-based access control (RBAC)
• Proven experience building and operating ETL/ELT pipelines and data integrations
• Programming proficiency in Python (or R) for data processing and modeling
• Marketing analytics experience, including: Digital marketing performance analysis, Campaign attribution modeling, Customer segmentation and lifecycle analytics, Funnel and conversion optimization
• Experience working with large, complex datasets in a cloud-based environment
• Strong analytical, problem-solving, and communication skills
• Must be a U.S. Citizen
• Multi-unit or multi-location retail, franchise, or services experience, with a strong understanding of same-store sales analysis and location-level KPIs
• Background in healthcare analytics, including churn, retention, and patient lifecycle metrics
• Experience with AWS or Google Cloud
• Familiarity with Snowflake features such as Snowpipe, Streams & Tasks, Secure Data Sharing, and Time Travel
• Experience with ETL/ELT tools (Fivetran, dbt, Airflow)
• Experience with predictive modeling and machine learning (Python/R) and AI-enhanced workflows
• Knowledge of A/B testing and experimentation frameworks
• Experience integrating data with BI tools (Tableau, Power BI, Looker, or similar)