GCP Data Engineer

GCP Data Engineer

Location: Temple, TX – Onsite

Job Overview

We are seeking an experiencedGCP Data Engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting enterprise data initiatives.

The ideal candidate will have strong experience withSQL, Python, cloud data platforms, data integration, data warehousing, DataOps, CI/CD, and workflow orchestration, with hands-on experience inGCP and/or Azure environments.

Key Responsibilities

• Design, develop, and maintain scalabledata pipelines and ETL/ELT processes.
• Build and optimize data integrations from multiple internal and external sources.
• Ensuredata quality, integrity, reliability, and performance.
• Develop and managedata models, data warehouses, and data lakes supporting reporting, analytics, and operational workloads.
• Implement data engineering best practices includingautomation, monitoring, testing, and performance optimization.
• Work with cloud-based data platforms and services inGCP and/or Azure.
• SupportDataOps practices, including CI/CD pipelines, workflow orchestration, and infrastructure automation.
• Collaborate withdata analysts, data scientists, business stakeholders, and application teams to understand requirements and deliver scalable data solutions.
• Troubleshoot and resolve data-related issues.
• Ensure compliance withdata governance and security standards.
• Document data processes, architectures, workflows, and technical solutions.

Required Qualifications

• 3–5 years of progressive experience in data engineering, data integration, or related technical roles.
• Strong experience withSQL and Python.
• Experience with moderndata engineering frameworks and tools.
• Hands-on experience developing and maintaininglarge-scale data pipelines and data integration solutions.
• Strong knowledge of:
  • Data Warehousing
  • Data Modeling
  • ETL/ELT
  • Database Design
• Experience with cloud data platforms and services inGCP and/or Azure.
• Experience withDataOps, CI/CD pipelines, workflow orchestration, and automated testing.
• Strong analytical and problem-solving skills.
• Ability to translate business requirements into technical data solutions.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience withbig data technologies.
• Experience withdistributed processing frameworks.
• Experience withcloud-native data architectures.
• Experience supporting enterprise-scale data platforms.