Data Engineer - Growth Analytics & Scalable Pipelines

Cypress HCM; San Jose (CA); Hybrid; USD 78,431 - 111,705; Part time

Job summary

Cypress HCM is seeking a Data Engineer to support Growth Monetization initiatives in San Jose, CA. The ideal candidate will have at least 5 years of data engineering experience, strong SQL skills, and hands-on experience with Big Data technologies. This contract role emphasizes building scalable data pipelines and collaborating with cross-functional teams for data-driven insights.

The position offers a competitive pay rate of up to $69.01 per hour in a hybrid work environment.

Qualifications

• Minimum 5 years of data engineering experience.
• Strong SQL expertise with experience in large datasets.
• Hands-on experience with Big Data technologies.
• Experience in building scalable data pipelines.
• Experience in developing ETL/ELT workflows.

Responsibilities

• Design, build, optimize, and maintain scalable data pipelines.
• Write complex SQL queries for experimentation analysis.
• Develop ETL/ELT workflows for large datasets.
• Improve pipeline performance and data quality.
• Process high-volume datasets using distributed technologies.
• Build monitoring and validation frameworks for data integrity.
• Partner with cross-functional teams to deliver data solutions.
• Identify and resolve data quality and performance issues.

Skills

SQL expertise

Big Data technologies (Hadoop, Hive, Spark)

Data pipeline design

ETL/ELT workflows

Collaboration skills

Job description

Cypress HCM is seeking a Data Engineer to support Growth Monetization initiatives in San Jose, CA. The ideal candidate will have at least 5 years of data engineering experience, strong SQL skills, and hands-on experience with Big Data technologies. This contract role emphasizes building scalable data pipelines and collaborating with cross-functional teams for data-driven insights.

The position offers a competitive pay rate of up to $69.01 per hour in a hybrid work environment.