Data Engineer

Job Details • Data Engineer 1 (Contract) • Location: San Jose, CA 95110 (Hybrid) • Duration: 6/08/2026 to 11/20/2026 • Team: US Digital Global Digital Commerce Job Description • Support Growth Monetization initiatives by building and optimizing scalable data pipelines that enable experimentation, analytics, and business insights. • This role is heavily focused on large-scale data engineering, SQL-driven experimentation analysis, and building reliable data infrastructure that supports cross-functional teams including Product, Data Science, Marketing, and Engineering. Responsibilities • Design, build, optimize, and maintain scalable data pipelines supporting Growth Monetization initiatives • Write complex SQL queries to analyze A/B testing and experimentation results • Develop and enhance ETL/ELT workflows for large-scale structured and unstructured datasets • Improve pipeline performance, reliability, scalability, and overall data quality • Process high-volume datasets using distributed data processing technologies • Build automated monitoring, alerting, and validation frameworks for pipeline health and data integrity • Partner with Data Science, Product, Marketing, and Engineering teams to deliver scalable data solutions and actionable insights • Identify and resolve data quality, performance, and operational issues across data platforms Required Qualifications • Minimum 5 years of data engineering experience • Strong SQL expertise with experience writing and optimizing complex queries against large datasets • Hands-on experience with Big Data technologies such as Hadoop, Hive, Spark, or similar distributed processing frameworks • Experience building and optimizing scalable data pipelines in cloud or enterprise environments • Experience developing ETL/ELT workflows and orchestration processes • Experience with pipeline monitoring, data validation, and performance tuning • Strong collaboration skills and ability to work with both technical and business stakeholders • Experience supporting experimentation, analytics, or data-driven decision making environments is highly preferred Compensation • Pay Rate: Up to $69.01 per hour Requisition ID: 37270893