GCP Data Engineer

CI/CD pipelines dataops tools data governance data modeling data warehousing troubleshooting skills data engineering Python ETL/ELT

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes to support enterprise data initiatives.
• Build and optimize data integrations from multiple internal and external sources, ensuring data quality, integrity, and reliability.
• Develop and manage data models, data warehouses, and data lakes that support reporting, analytics, and operational workloads.
• Implement data engineering best practices, including automation, monitoring, testing, and performance optimization.
• Work with cloud-based data platforms and services in Azure and/or GCP environments.
• Support DataOps practices, including CI/CD pipelines, orchestration, and infrastructure automation.
• Partner with data analysts, data scientists, business stakeholders, and application teams to understand requirements and deliver scalable data solutions.
• Troubleshoot and resolve data issues while ensuring compliance with data governance and security standards.
• Document processes, architectures, and technical solutions to support maintainability and knowledge sharing.

• 3-5 years of progressive experience in data engineering, data integration, or related technical roles.
• Strong experience with SQL, Python, and modern data engineering frameworks and tools.
• Experience developing and maintaining large-scale data pipelines and data integration solutions.
• Knowledge of data warehousing, data modeling, ETL/ELT processes, and database design principles.
• Experience with cloud data platforms and services in Azure and/or GCP.
• Experience with DataOps practices, CI/CD pipelines, workflow orchestration, and automated testing.
• Experience working with big data technologies, distributed processing frameworks, or cloud-native data architectures is preferred.
• Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
• Excellent communication and collaboration skills with both technical and non-technical stakeholders.

The pay range that the employer in good faith reasonably expects to pay for this position is $48.54/hour - $75.85/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.