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.
OpenData Clinical is global reference data on sites and investigators.
As one of our data engineers, you will be the subject matter expert for questions regarding the OpenData Clinical data pipeline structure and quality. You will ensure the data we use meets the product goal and provide comprehensive data analysis for various stakeholders. You will work closely with product management, data operations, data governance, software engineering, and quality assurance teams.
To thrive in your role, you need hands-on experience managing large databases and complex data sets. You are detail-oriented, have a growth mindset, and can turn data into valuable insights. You communicate effectively with stakeholders and can deliver high-quality results within tight timelines.
Veeva's headquarters is located in the San Francisco Bay Area, with offices in more than 15 countries worldwide.
As an equal opportunity employer, Veeva is committed to fostering an inclusive culture and a diverse workforce. Diversity enhances our strength and comes in many forms—gender, race, ethnicity, religion, politics, sexual orientation, age, disability, and life experiences. We value individuals for who they are and the contributions they bring.
If you need assistance or accommodation due to a disability or special need during the application or recruitment process, please contact us at [contact information].
Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala
* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.