Clay is seeking an Analytics Engineer to join their team in the New York City Metropolitan Area. The role involves bridging the gap between raw data infrastructure and high-impact business insights and data products.
About the Role
As an Analytics Engineer, you will take ownership of data models, pipelines, and platform architecture to ensure a scalable, durable, and consumable analytics and data science foundation. Your responsibilities include designing and maintaining ETL/ELT pipelines, improving data models, collaborating with cross-functional teams, driving architectural improvements, and supporting self-serve insights for better decision-making across various teams.
About You
Required:
6+ years of hands-on experience in analytics engineering, data engineering, or data management.
Expert in SQL, Python, AWS infrastructure, and modern data tools (emphasis on dbt, Dagster/Airflow).
Strong ownership mentality and proven ability to design for scalability, durability, and reusability.
Preferred:
A passion for pragmatic solutioning while staying current on modern data and AI tooling.
Excitement for iterative, agile development processes and collaboration with diverse teams.
Benefits
Work with world-class coaches specializing in creativity and management.
Unique company culture with a diverse team of individuals.
Clay
✨ The creative tool for growth | Go to market with unique data - and the ability to act on it
Company Size: 51-200 employeesSoftware Development