Data Engineer

HappyGlobal Service; Santa Clara (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

HappyGlobal Service is seeking a senior data warehouse engineer to lead the design and development of offline data warehouses and governance practices. You will build scalable models, pipelines, and ensure data accuracy across business units, while coordinating with the China-based team on cross-border compliance.

The role requires deep expertise in big data ecosystems and languages like Java, Scala or Python, plus strong data privacy knowledge to align with CCPA and GDPR requirements.

Qualifications

• Experience in data warehouse modeling for enterprise-scale systems.
• Proficiency with offline and real-time data processing architectures.
• Experience building large-scale data processing systems is highly preferred.
• Strong programming experience in Java, Scala and/or Python.
• Ability to translate business needs into scalable data architectures.
• Working knowledge of US privacy regulations (CCPA, GDPR) and cross-border data handling.

Responsibilities

• Lead design and end-to-end development of offline data warehouses.
• Develop domain-aligned data warehouse solutions to meet diverse data needs.
• Collaborate with China-based data engineering team to ensure compliance and deployment.

Skills

Data warehouse modeling

Offline and real-time processing

Big data ecosystems

Java

Scala

Python

Data privacy compliance

Tools

Hadoop

Spark

Iceberg

Flink

Job description

You will be part of the US data team, responsible for building and maintaining enterprise‑grade offline data warehouse solutions. You will collaborate with internal business stakeholders and work closely with the China‑based data engineering team, ensuring all work complies with local and global data‑privacy requirements.

Responsibilities

• Lead the design and end‑to‑end development of offline data warehouses, encompassing layered data modeling, pipeline development, and data governance practices to guarantee data accuracy, consistency, and long‑term operational stability.
• Develop in‑depth domain expertise across business verticals and design domain‑aligned data warehouse solutions to fulfill varied data requirements from all internal business units.
• Partner closely with the China‑based data engineering team to address regional data privacy compliance requirements, task deployment, and day‑to‑day operational maintenance. All cross‑border data collaboration shall fully comply with applicable local and global data privacy regulations, including the CCPA and GDPR.

Qualifications

• Proven extensive hands‑on experience in data warehouse modeling and development, with solid proficiency in both offline and real‑time data processing. Prior experience building large‑scale, high‑throughput data processing systems is highly preferred.
• Expertise in big data ecosystems including Hadoop, Spark, Iceberg, Flink and related frameworks; practical software development experience with Java, Scala and/or Python. Capable of integrating diverse technology stacks to build robust, business‑centric data solutions.
• Keen data intuition paired with strong business acumen: able to translate business requirements into scalable data architecture, and design well‑structured data warehouse models focused on stability, extensibility and long‑term maintainability.
• Exceptional logical reasoning skills; adept at prioritizing multiple concurrent tasks within a fast‑paced tech environment. Highly self‑motivated with strong proactive ownership and accountability.
• Working knowledge and practical experience adhering to U.S. data privacy regulatory frameworks (notably CCPA and GDPR).

Equal Employment Opportunity Statement

We are an Equal Employment Opportunity Employer committed to compliance with all federal, state, and local anti‑discrimination laws, including California’s Fair Employment and Housing Act (FEHA). All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, pregnancy, childbirth and related medical conditions, protected veteran status, or any other category protected under applicable federal, California state, and local laws.