GCP Data Platform Engineer

📋 Description

• Develop, maintain, and enhance data platforms on Google Cloud Platform, ensuring scalability
• Create and manage BigQuery datasets, tables, views, data models, and reporting pipelines to support
• Design and maintain PostgreSQL schemas, develop and optimize SQL queries, manage indexes, and
• Use Python and SQL to develop data processing logic, automate workflows, implement transformations
• Build, maintain, and improve data pipelines that integrate information from multiple sources and
• Design and maintain structured data models and analytical datasets that support reporting, business

🎯 Requirements

• Practical experience developing, supporting, or maintaining data platforms and cloud-based data
• Hands-on experience working with BigQuery datasets, tables, views, data models, or reporting and
• Experience with PostgreSQL database development and maintenance, including schema design, SQL
• Strong working knowledge of Python for data engineering, automation, data processing, and platform
• Proficiency in SQL, including query development, data transformations, troubleshooting, and
• Experience building, maintaining, or improving data pipelines and analytical data solutions that

🎁 Benefits

• Competitive hourly rate of $65–$75 per hour, depending on experience, technical expertise, and
• Remote work flexibility within the United States.
• Contract-based opportunity to gain hands-on experience delivering cloud data engineering solutions.
• Work with Google Cloud Platform, BigQuery, PostgreSQL, Python, SQL, and other data engineering
• Strengthen expertise in cloud data platforms, database management, data pipeline engineering, and
• Contribute to real-world data platform development, production support, and analytical solution