GCP Data Platform Engineer

About the Role

This is a remote, contract-based opportunity in the United States for a GCP Data Platform Engineer. The role involves building, maintaining, and optimizing cloud-based data platforms on Google Cloud Platform (GCP) to support analytics, reporting, and data-driven products.

Key Responsibilities

• Cloud Data Platform Development: Develop, maintain, and enhance data platforms on Google Cloud Platform, ensuring scalability, reliability, and alignment with business and technical requirements.
• BigQuery Development & Optimization: Create and manage BigQuery datasets, tables, views, data models, and reporting pipelines.
• PostgreSQL Database Management: Design and maintain PostgreSQL schemas, develop and optimize SQL queries, manage indexes, and support database migrations.
• Python & SQL Engineering: Use Python and SQL to develop data processing logic, automate workflows, implement transformations, and maintain efficient data platform components.
• Data Pipeline Engineering: Build, maintain, and improve data pipelines that integrate information from multiple sources and deliver reliable, high-quality datasets.
• Data Modeling & Analytical Solutions: Design and maintain structured data models and analytical datasets.
• Cloud Database Operations: Support database and platform operations, troubleshoot production issues, and monitor system performance.
• Performance Tuning & Troubleshooting: Identify bottlenecks and implement improvements to optimize processing efficiency and resource utilization.
• Platform Maintenance & Reliability: Perform ongoing maintenance, investigate data inconsistencies, resolve technical issues, and implement improvements.
• Technical Collaboration: Work with engineering and other technical stakeholders to deliver data solutions and support project requirements.

Requirements & Tech Stack

• Google Cloud Platform (GCP)
• BigQuery
• PostgreSQL
• Python
• SQL

Qualifications

• Practical experience developing, supporting, or maintaining data platforms and cloud-based data solutions on GCP.
• Hands-on experience working with BigQuery datasets, tables, views, data models, or reporting and analytics pipelines.
• Experience with PostgreSQL database development and maintenance, including schema design, SQL queries, indexing strategies, and database migrations.
• Strong working knowledge of Python for data engineering, automation, data processing, and platform development.
• Proficiency in SQL, including query development, data transformations, troubleshooting, and performance optimization.
• Experience building, maintaining, or improving data pipelines and analytical data solutions that integrate and process information from multiple sources.
• Understanding of data modeling principles, analytical dataset design, and data organization.
• Ability to support production database environments and data platforms, diagnose technical issues, and maintain reliable operations.
• Strong troubleshooting skills, attention to detail, and the ability to investigate performance issues and implement effective technical solutions.
• Ability to work effectively with technical teams, communicate complex issues clearly, and contribute to shared engineering objectives.
• Ability to work independently in a remote environment and manage technical responsibilities in a contract-based role.
• This is an entry-level listing, with practical experience in cloud data platforms, Python, SQL, and database technologies required.

Employment Conditions

• Type: Contract
• Location: Remote, United States
• The position is project-oriented.