Senior Data Engineer [Remote / US]

Remote | Philippines | Night Shift

About the role

We are looking for a highly skilled Data Engineer to design, build, and maintain scalable data platforms that support analytics, business intelligence, and operational reporting. In this role, you will be responsible for developing robust data pipelines, optimizing cloud-based data infrastructure, and ensuring high-quality, reliable datasets that drive critical business decisions.

You will work closely with software engineers, analytics teams, architects, and business stakeholders to build and maintain a modern data ecosystem utilizing Google Cloud Platform (GCP) technologies including BigQuery, AlloyDB, Airflow, dbt, and Looker.

Key responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines from multiple data sources into BigQuery
• Build and optimize data integrations that support operational and analytical workloads
• Implement data transformation workflows using dbt to create clean, reliable, and analytics-ready datasets
• Develop and maintain data orchestration workflows using Airflow
• Ensure data platforms are scalable, secure, performant, and cost-efficient
• Design and maintain logical and physical data models to support reporting and analytics requirements
• Create reusable data marts and aggregate datasets for business intelligence and reporting
• Develop and support Looker models, dashboards, and self-service analytics capabilities
• Establish data validation, monitoring, and quality assurance processes
• Monitor pipeline performance, data freshness, and system reliability

About you

• 4+ years of experience in Data Engineering or a related field
• Strong SQL expertise, including performance optimization and complex query development
• Hands-on experience with BigQuery and large-scale cloud data platforms
• Experience with AlloyDB, PostgreSQL, or similar relational databases
• Advanced Python skills for data processing, automation, and pipeline development
• Experience building ETL/ELT pipelines using dbt and Airflow
• Strong understanding of data modeling principles and best practices
• Experience with Looker or equivalent BI tools
• Strong understanding of data quality, governance, and monitoring frameworks
• Experience using Git and CI/CD workflows