Veeva Systems - Senior Data Engineer

Location: China - Beijing

Department: Engineering 751-R&D Safety Dev

Position Type: Full-Time

Work Environment: On-site

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company we made history in 2021 by becoming a (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

Join us in making a positive impact on our customers, employees, and communities.

Veeva Pulse is our new data product that collects big data from multiple sources to provide customer benchmarks and industry insights to Veeva customers in order to help the industry become more efficient and effective.

We are looking for a talented and experienced data engineer to join our team. The ideal candidate will have a strong understanding of data engineering principles and practices, as well as experience with a variety of data processing and analysis tools. The data engineer will be responsible for designing, building, and maintaining our data infrastructure, as well as developing and implementing data pipelines.

• Design, build, and maintain our data infrastructure, including data warehouses, data lakes, and data pipelines.
• Use our proprietary big data to extract, transform, and load data from a variety of sources.
• Work with product managers, data scientists, and other stakeholders to design and implement data-driven solutions.
• Run jobs and ensure these jobs work and can scale.
• Monitor and maintain our data infrastructure to ensure data quality and availability.
• Stay up-to-date on the latest data engineering technologies and trends.
• Tune databases.

• Bachelor's degree in computer science, data science, or a related field.
• 5 years of experience in data engineering.
• Strong understanding of data engineering principles and practices.
• Experience coding analytics in Python.
• Experience with a variety of databases, including MySQL, Clickhouse, Hive.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork skills.
• Candidate will be comfortable working independently and as part of a team.

• Experience with cloud service platforms (e.g., AWS, Azure).
• Familiarity with real-time data processing frameworks (e.g., Kafka, Flink).
• Hands-on experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of data governance and compliance best practices.
• Background in machine learning engineering or MLOps.

Veevas headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.