Principal Software Engineer - Spark, Big Data

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 public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

Veeva Company is seeking a talented and senior Engineer to join our Big Data Analytics Tools group in Israel.

This is an amazing opportunity to work with a world-class team and to hold responsibility for designing and implementing big data platforms and pipelines.

You will work with Engineers, Data Scientists, DevOps, and PMs and be in charge of designing and developing Apache Spark applications on AWS infrastructures that process large volumes of medical records securely while preserving patient privacy.

If you want to grow with us and work for a world leader company, now is the right time to join.

What You'll Do

• Be part of an engineering team that focuses on Crossix core technology and peripheral analytical tools
• Design and implement highly reliable and scalable Spark applications that efficiently process big data
• Collaborate with data scientists on the design and implementation of ML data pipelines using PySpark and Python
• Integrate with relational databases, MongoDB, and AWS services (e.g., EMR, S3, SQS)
• Work in an agile team to improve the development life cycle, development practices, and testing facilities

Requirements

• 10+ years of software development
• 8+ years of programming experience in server-side components/backend technologies
• 5+ years of experience in Big Data development
• 3+ years of experience with Python and PySpark
• 5+ years of experience with Java
• B.Sc. in Computer Science or equivalent
• Team player

Nice to Have

• Deep understanding of NoSQL databases such as Elasticsearch and MongoDB
• Significant experience with both EMR and EMR Serverless, as well as other big data processing engines on cloud infrastructures