Senior Data Engineer – Data Warehouse & Big Data

HappyGlobal Service; Santa Clara (CA); On-site; USD 200,000 - 400,000; Full time

Job summary

HappyGlobal Service seeks a Senior Data Engineer with expertise in data warehouse design, data modeling, and scalable data pipelines. The role spans governance, platform reliability, and collaboration with global engineering teams to meet diverse data needs.

The ideal candidate will have hands-on experience with Hadoop, Spark, Iceberg, Flink, and programming in Java/Scala/Python, plus a strong emphasis on data privacy compliance (CCPA & GDPR). This is a high-impact, US-based opportunity.

Qualifications

• Strong hands-on experience in data warehouse modeling and development.
• Experience with batch and real-time data processing.
• Experience building or supporting large-scale data processing systems.
• Hands-on experience with big data technologies such as Hadoop, Spark, Iceberg, Flink, or similar frameworks.
• Software development experience with Java, Scala, and/or Python.
• Ability to translate business requirements into scalable and maintainable data solutions.
• Strong analytical, problem-solving, and organizational skills.
• Ability to collaborate effectively across teams and manage multiple priorities.
• Familiarity with applicable data privacy requirements, including CCPA and GDPR.

Responsibilities

• Design and develop data warehouse systems, including layered data modeling, data pipelines, and data governance.
• Build reliable and scalable data infrastructure to support data accuracy, consistency, and operational stability.
• Translate business requirements into effective data models and data engineering solutions.
• Design and optimize data processing workflows for a variety of internal use cases.
• Collaborate with global engineering teams on system deployment, maintenance, and data-related initiatives.
• Support applicable data privacy and compliance requirements, including CCPA and GDPR.
• Contribute to improvements in data architecture, engineering standards, and platform reliability.

Skills

Data warehousing

Batch & real-time processing

Big data tech

Programming: Java/Scala/Python

Business requirements translation

Analytical & problem-solving

Cross-team collaboration

Tools

Hadoop

Spark

Iceberg

Flink

Job description

Senior Data Engineer – Data Warehouse & Big Data

About the Opportunity

This role focuses on the design, development, and maintenance of scalable data warehouse and data processing systems. The engineer will work across data modeling, pipeline development, data governance, and platform reliability while supporting data needs across multiple business functions.

Responsibilities

• Design and develop data warehouse systems, including layered data modeling, data pipelines, and data governance.
• Build reliable and scalable data infrastructure to support data accuracy, consistency, and operational stability.
• Translate business requirements into effective data models and data engineering solutions.
• Design and optimize data processing workflows for a variety of internal use cases.
• Collaborate with global engineering teams on system deployment, maintenance, and data-related initiatives.
• Support applicable data privacy and compliance requirements, including CCPA and GDPR.
• Contribute to improvements in data architecture, engineering standards, and platform reliability.

Qualifications

• Strong hands‑on experience in data warehouse modeling and development.
• Experience with both batch and real-time data processing.
• Experience building or supporting large‑scale data processing systems.
• Hands‑on experience with big data technologies such as Hadoop, Spark, Iceberg, Flink, or similar frameworks.
• Software development experience with Java, Scala, and/or Python.
• Ability to translate business requirements into scalable and maintainable data solutions.
• Strong analytical, problem‑solving, and organizational skills.
• Ability to collaborate effectively across teams and manage multiple priorities.
• Familiarity with applicable data privacy requirements, including CCPA and GDPR.

Compensation

The anticipated base salary range for this position is $200,000–$400,000 per year, plus bonus and equity compensation.

Actual compensation may vary based on relevant experience, skills, qualifications, and other job‑related factors.

Work Authorization

Applicants must be legally authorized to work in the United States.

Visa sponsorship, including H-1B sponsorship or transfer, may be available for qualified candidates.

Our client is an equal opportunity employer. Employment decisions are made in accordance with applicable federal, state, and local laws.