GCP Data Enigneer

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create unique competitive advantage for our clients by giving them the power to see beyond and rise above. We are experiencing tremendous growth, with $566 million in revenue in FY21, representing 12.9% year-over-year growth. Along with that growth, we onboarded over 3,000 new employees in the past year, bringing our total employee count to over 15,000 people located in 18 countries across the globe. At Persistent, our values are more than a list of ideals to improve our corporate image. We’re dedicated to building an inclusive culture that reflects what’s important to our employees and is based on what they value. As a result, 95% of our employees approve of the CEO and 83% recommend working at Persistent to a friend. About Position: We are seeking a GCP Data Engineer with deep, hands-on architectural and development experience in Google Cloud Platform’s big data ecosystem. You will be responsible for designing, building, and optimizing a modern data lakehouse architecture. Your primary focus will be leveraging BigLake, BigQuery, Google Cloud Storage (GCS), and Vertex AI to create seamless, scalable data pipelines and machine learning integrations that drive business intelligence and predictive analytics. About Position: Role: GCP Data Engineer with AI/ML Integration Location: Irving, Texas 75039 (100% onsite) Hire Type: contract Experience: 8+ years of experience What You'll Do: Design and manage complex, highly scalable data models within Big Query. Perform deep performance tuning and cost optimization of Big Query jobs utilizing clustering, partitioning, materialized views, and slot capacity management. Collaborate with Data Scientists to operationalize machine learning models using Vertex AI. Build robust data pipelines to feed Vertex AI Feature Store, manage model training workflows and deploy ML models into production. Utilize Big Query ML (BQML) for in-database predictive modeling and analytics where appropriate. Expertise You'll Bring: Lakehouse Architecture & Development: Architect and maintain a scalable data lakehouse using Google Cloud Storage (GCS) as the foundational data lake and BigLake to unify data warehouses and data lakes. Implement fine-grained security (row-level and column-level access controls) and data governance across open file formats (Parquet, Iceberg, ORC) using BigLake. Data Warehousing & Optimization: Data Pipeline Engineering: Big Query: Expert-level knowledge of Big Query architecture, advanced SQL, analytical functions, query profiling, and optimization techniques. Big Lake: Proven experience utilizing Big Lake for multi-cloud or lake house architectures, managing open-source formats (e.g., Apache Iceberg/Parquet), and enforcing unified security policies. GCS: Deep understanding of GCS storage classes, object lifecycle management, and optimizing GCS for big data workloads. Vertex AI: Hands-on experience with Vertex AI pipelines, endpoints, feature stores, or deploying ML models into scalable data environments. Programming Skills: Advanced proficiency in Python and SQL. Familiarity with Java, Scala, or Go is a plus. Data Orchestration & CI/CD: Experience with orchestration tools (e.g., Apache Airflow, Cloud Composer) and modern CI/CD pipelines (e.g., GitHub Actions, Terraform, Cloud Build). Benefits: • Competitive salary and benefits package • Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications • Opportunity to work with cutting-edge technologies • Employee engagement initiatives such as project parties, flexible work hours, and ‘Long Service’ awards • Annual health check-ups as well as insurance: • Group term life insurance • Personal accident insurance • Mediclaim hospitalization insurance for self, spouse, two children, and parents Why Persistent is an employer of choice • Technology Innovation: culture of innovation using cutting-edge technology to bring value to clients. • Growth and Career Progression: learning opportunities for growth, including quarterly promotion cycles. • One Persistent Culture: global outlook with diversity and inclusion at its core. • Mental and Physical Wellness: employee health and mindfulness programs