GCP Data Engineer

GCP Data Engineer Location: Houston, TX Work Model: 100% Onsite Duration: 12 months - will extend Overview We are seeking a highly experienced GCP Data Engineer to join a data-driven team supporting large-scale analytics and cloud-native data platforms. This role requires deep hands-on experience with Google Cloud Platform services, strong Python and SQL skills, and the ability to build, deploy, and maintain robust data pipelines in a production environment. Key Responsibilities • Design, build, and maintain scalable data pipelines and workflows on Google Cloud Platform • Develop and optimize data solutions using BigQuery and Google Cloud Storage (GCS) • Implement event-driven and batch processing using Pub/Sub • Deploy and manage services using Cloud Run, Cloud Functions, and Cloud Composer • Collaborate with DevOps teams to support CI/CD pipelines and cloud infrastructure best practices • Manage service accounts, IAM permissions, and Secrets Manager configurations • Build and maintain data transformations using dbt • Support analytics and reporting use cases, including integrations with Power Apps • Ensure data quality, performance optimization, and security compliance • Work closely with cross-functional teams including data scientists, analysts, and application developers Required Qualifications • 10+ years of overall software or data engineering experience • 3–4+ years of hands-on experience with the GCP data stack Strong expertise in: • BigQuery, GCS • Cloud Run, Cloud Functions, Cloud Composer • Pub/Sub • Proficient in Python and SQL • Experience with GitHub and modern DevOps practices • Solid understanding of cloud security concepts, including service accounts and secrets management • Hands-on experience with dbt • Familiarity with Power Apps • Google certifications Preferred Skills • Experience working in highly regulated or enterprise environments • Strong troubleshooting and performance tuning skills