Hiring Now: GCP Data Engineer | Hybrid – Phoenix, AZ Location: Phoenix, Arizona (Hybrid – 3 days onsite per week) Job Type: W2 Contract Start Date: ASAP Duration: 6+ Months (with possible extension) About the Role: We are looking for a highly skilled GCP Data Engineer to join our team in Phoenix, AZ. This hybrid position requires 3 days onsite per week and involves building scalable, secure, and high-performance data solutions using Google Cloud Platform (GCP) technologies. Key Responsibilities: • Design and implement large-scale data pipelines using GCP tools such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Functions • Develop ETL/ELT workflows and automate data integration processes • Collaborate with data analysts, scientists, and product teams to deliver clean, reliable data • Optimize performance and cost of data infrastructure • Ensure data security, monitoring, and governance • Use tools like Apache Beam, Airflow (Cloud Composer), and Terraform for orchestration and automation Required Qualifications: • 6+ years of experience in Data Engineering, including 2+ years with Google Cloud Platform • Proficiency in SQL, Python, and Apache Beam • Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Cloud Storage • Familiarity with data orchestration tools (e.g., Cloud Composer / Airflow) • Experience with CI/CD and Infrastructure as Code (e.g., Terraform) • Strong understanding of data warehousing, data modeling, and performance tuning Preferred Qualifications: • GCP Professional Data Engineer Certification • Experience with real-time streaming data solutions • Exposure to Looker, dbt, or other analytics/BI tools • Background in healthcare, finance, or regulated environments is a plus