USA - Glendale, California: Senior Data Engineer

Job Title: Senior Data Engineer Location: Glendale, California, USA Position Type: Full-Time Contract (Direct Placement / Project Deployment) Hours: 8 Hours per Day | 40 Hours per Week Openings: 1 Position Available Experience Required: 5 to 20 Years Payment Terms: 45 Days Net --- About the Project & Opportunity Our UK based international recruitment agency is managing a specialized talent deployment project for a leading technology and data-driven enterprise in Glendale, California. We are actively seeking one (1) highly experienced Senior Data Engineer to lead the optimization and scaling of critical data infrastructure. This project is ideal for an accomplished data professional with a proven track record of designing robust pipelines, migrating complex data architectures, and driving technical execution in high-growth environments. What You Will Do - Design, construct, install, test, and maintain highly scalable data management systems and robust data pipelines (ETL/ELT). - Architect integrated data platform solutions to aggregate vast, complex datasets into clean, structured data warehouses for analytics and production environments. - Optimize data delivery and infrastructure for greater scalability, efficiency, and reliability across cloud environments (AWS, Azure, or GCP). - Collaborate closely with data scientists, software architects, and business stakeholders to align pipeline infrastructure with analytical goals. - Implement advanced data governance, security protocols, and system monitoring to ensure data integrity and high availability. What We Are Looking For (Compliance & Requirements) - Technical Experience: 5 to 20 years of dedicated data engineering experience utilizing core languages such as Python, Scala, or Java, alongside advanced SQL. - Architecture Mastery: Extensive hands-on experience with modern data tools (e.g., Spark, Hadoop, Kafka, Airflow, Snowflake, or Databricks). - Cloud Infrastructure: Proven expertise in deploying production-grade data pipelines within major cloud ecosystems. - Core Certifications: Relevant professional certifications (e.g., AWS Certified Data Engineer, Azure Data Engineer Associate) are highly advantageous. - Key Skills: Exceptional system design capabilities, problem-solving skills under tight project deadlines, and the ability to work independently within an agile structure. Next Steps for Applicants As the managing recruitment partner, our international mobilization team will guide qualified candidates through the technical screening processes, facility selection rounds, and international onboarding compliance.