Senior Data Engineer, GCP, Data Integration

• Build, maintain, and enhance production ETL pipelines connecting REST APIs with GCP-based data warehouse environments
• Develop and maintain data integration components using TypeScript/Node.js and Python within an existing pipeline architecture
• Develop data pipelines using BigQuery, Cloud Storage, Dataflow, and Pub/Sub
• Implement transformation logic for billing events, subscription lifecycle data, revenue data, and other data flowing into the GCP data warehouse
• Develop and maintain REST API integrations, including authentication, pagination, error handling, retries, and reliable data extraction
• Support pipeline monitoring and reliability through alerting, logging, error handling, retry mechanisms, and data quality checks
• Write complex SQL queries for source-to-warehouse data validation, reconciliation, and parity checks
• Collaborate with architecture stakeholders on warehouse-level validation requirements and translate them into SQL checks and reconciliation logic
• Investigate and resolve data pipeline, integration, transformation, and data quality issues
• Follow established coding standards, architecture patterns, CI/CD workflows, and development practices within the existing codebase
• Collaborate with Data Engineering leadership for technical direction while maintaining ownership of assigned development work
• Provide clear written status updates, surface blockers early, and communicate progress effectively within an async-first distributed team
• Contribute to Agile/Kanban workflows while remaining focused on hands-on engineering execution

• Bachelor’s Degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field is desired, or equivalent professional experience
• 6+ years of professional experience in Data Engineering, ETL, Data Integration, or a closely related field
• Strong hands-on experience with TypeScript/Node.js in production ETL or data integration environments
• Strong Python experience developing production data pipelines using Dataflow, Airflow, or Cloud Composer
• Hands-on experience with GCP data services, including BigQuery, Cloud Storage, Dataflow, and Pub/Sub
• Proven experience building and maintaining REST API integrations, including OAuth 2.0 authentication, pagination, error handling, and retry logic
• Advanced SQL skills, including complex queries across warehouse schemas for data validation, reconciliation, and analysis
• Experience working with data transformation logic and production data pipelines
• Ability to understand and work within an existing architecture, following established coding patterns, conventions, and CI/CD workflows
• Strong troubleshooting and problem-solving skills across data pipelines, integrations, and cloud environments
• Strong written communication skills and ability to provide clear updates in an async-first, distributed environment
• Self-directed approach to onboarding and ability to become productive within an existing codebase with minimal guidance
• Working English proficiency for collaboration with US-based stakeholders and distributed teams
• Professional experience working with the Zuora REST API is nice to have
• Experience with ZOQL or Zuora’s billing data model, including subscriptions, invoices, and payments, is nice to have
• Experience with dbt or similar data transformation frameworks is nice to have
• GCP Professional Data Engineer certification is nice to have

• Remote work option
• Opportunity to work on AI-powered solutions and scalable products
• Collaborative work across design, development, cloud, data, and artificial intelligence
• Learning and ownership opportunities
• Distributed, async-first working environment
• Agile/Kanban workflows
• Professional development through work with modern technologies and AI-native transformation