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 OpenData supports the industry by providing real-time reference data across the complete healthcare ecosystem, to support commercial sales execution, compliance, and business analytics. We drive value to our customers through constant innovation, using cloud-based solutions and state-of-the-art technologies to deliver product excellence and customer success.

As a Data Engineer in Opendata, you will take responsibility for the OpenData processing workflows in North America. You will be building and maintaining data processing pipelines and reports, ensuring data quality in our reference data. We value end-to-end ownership, which gives you the freedom to determine the correct course of action, do all due diligence, and execute solutions in your own creative way.

What You'll Do

Build and maintain data processing pipelines using state-of-the-art technologies

Work with Python and SQL on Spark-based data pipelines

Build analytical data structures to support reporting

Build and maintain Data Quality processes

Collaborate with Product and Data Operations teams to adapt our reference data to changing demands in the market

Requirements

3+ years of experience developing data pipelines using cloud-managed Spark clusters (e.g. AWS EMR, Databricks)

Fluent in Python programming language and PySpark (3+ years of experience)

Proficient with SQL/SparkSQL

Hands-on experience working with a Data Lakehouse

Good verbal and written communication and proven experience of working and delivering in an Agile environment

Nice to Have

Experience running data workflows through the DevOps pipeline

Develop data pipelines with orchestration tools (e.g. Airflow)

Experience with AWS services for data processing like EMR, MWAA, etc.

Previous experience in the Life Sciences sector

Perks & Benefits

Medical, dental, vision, and basic life insurance

Flexible PTO and company paid holidays

Retirement programs

1% charitable giving program

Compensation

Base pay: $75,000 - $150,000

The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.

Additional Information

#LI-RemoteUS

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. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at[email protected].