Offer summary

Qualifications:

BS degree in Computer Science, Engineering, or a related subject., 4+ years of experience in Data Engineering roles., Experience with cloud-based data processing tools like Apache Spark., Strong communication skills in English for technical and non-technical audiences..

Key responsabilities:

Design and build reusable and configurable data pipelines using cloud-based and proprietary platforms.

Collaborate with data scientists to develop AI/ML proofs of concept into full implementations.

Create documentation and provide training for data analysts on tools and pipelines.

Guide junior data engineers on best practices and work with security teams to meet security requirements.

Job description

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 is looking for a hard-working, collaborative expert in data pipelines, ETL tools, and warehousing. You will be creating high-quality solutions to complex problems around data acquisition and integration into existing systems and data sets. If you enjoy working in a fast-paced environment with a variety of exciting challenges to solve, this is the role for you.

What You’ll Do

Design and build reusable and configurable data pipelines using a mix of standard cloud-based and proprietary data platforms

Work with a data scientist to develop AI/ML proofs of concept into full implementations

Create documentation and provide informal training for data analysts on the configuration and use of tools and pipelines

Work with other engineering and product teams to understand proprietary platforms and provide input and feedback

Provide guidance to more junior data engineers on best practices

Work with security teams to ensure that all servers, platforms, and other resources meet security requirements

Requirements

BS degree in Computer Science, Engineering, or a related subject.

4+ years of experience in Data Engineering roles.

Experience developing sophisticated data pipelines in cloud-based environments (e.g. AWS) using scalable data processing tools (e.g. Apache Spark)

Data modeling experience

Demonstrated ability to work with others, particularly providing guidance to other data engineers

Ability to communicate around complex ideas and topics in English with both technical and non-technical individuals

Nice to Have

Familiarity with Agile methodologies

DevOps skills, especially CI/CD experience

Configuring and maintaining cloud-based cluster computing resources and orchestration systems (e.g. EC2 instances, Kubernetes clusters, Elastic Beanstalk)

Perks & Benefits

Comprehensive benefits package

Flexible “work from anywhere” policy

#LI-Remote

Veeva’s 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.

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