Senior Data Engineer (GCP & Data Integration)

About the role

You are a hands‑on Senior Data Engineer who enjoys building reliable, scalable data pipelines and integrations across cloud environments. You are comfortable working across different layers of the data ecosystem, from API integrations and transformation logic to cloud‑based pipelines and warehouse validation, and you bring the technical depth needed to troubleshoot issues across the full data flow.

Key responsibilities

• Build, maintain, and enhance production ETL pipelines connecting REST APIs with GCP‑based data warehouse environments.
• Develop data integration components using TypeScript/Node.js and Python within the existing pipeline architecture.
• Implement transformation logic for billing events, subscription lifecycle data, and revenue 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.

Required profile

• 6+ years of professional experience in Data Engineering, ETL, or Data Integration.
• Strong production experience with TypeScript/Node.js and Python.
• Hands‑on experience building data pipelines with Google Cloud Platform services.
• Advanced SQL skills for data validation, reconciliation, and analysis.
• Fluent English for collaboration with US‑based stakeholders and distributed teams.

Required skills

• TypeScript
• Node.js
• Python
• Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Pub/Sub)
• REST API integration (OAuth 2.0, pagination, error handling, retry logic)
• Advanced SQL
• Airflow or Cloud Composer for workflow orchestration