About the role
Build and maintain Gong's scalable data pipelines and infrastructure for analytics and governance.
- •The Senior Data Engineer will build, optimize, and maintain Gong's data infrastructure and core business data pipelines to support analytics and operational needs using a modern cloud data stack.
- •Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines (batch and real-time).
- •Automate and optimize data workflows, deployment, and monitoring; implement CI/CD for data solutions.
- •Integrate data across multiple sources and maintain secure AWS-based infrastructure.
- •Promote data quality, lineage, governance, and enforce access controls with security teams.
- •Requirements 5+ years experience in data engineering or related roles.
- •Hands-on experience with Snowflake, dbt, ETL/ELT tools (Fivetran, Census, Workato).
- •Strong proficiency in SQL and Python for data manipulation and automation.
- •Familiarity with IAM/access control and observability for pipeline performance.
Tech stack
Google CloudAWSSnowflakedbtJenkinsTableauFivetranPythonSQL
Match insights
Tech:Google Cloud, AWS, Snowflake, dbt, Jenkins
Level:Senior