Data Engineer
Cypress HCM
Job Details Team: US Digital Global Digital Commerce Data Engineer 1 (Contract) Location: San Jose, CA 95110 (Hybrid) Duration: 6/08/2026 to 11/20/2026 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 #J-18808-Ljbffr
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