Data Engineer
Job in
San Jose, Santa Clara County, California, 95199, USA
Listed on 2026-06-12
Listing for:
Cypress HCM
Full Time
position Listed on 2026-06-12
Job specializations:
-
IT/Tech
Data Engineering, Data Science Manager, Data Analyst, Data Warehousing
Job Description & How to Apply Below
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
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
- 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
- Pay Rate:
Up to $69.01 per hour
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