Data Engineer

Veeva [NYSE: VEEV] is the leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, our customers range from the world’s largest pharmaceutical companies to emerging biotechs. Veeva’s software helps our customers bring medicines and therapies to patients faster.

We are the first public company to become a Public Benefit Corporation . As a PBC, we are committed to making the industries we serve more productive, and we are committed to creating high-quality employment opportunities.

Veeva is a Work Anywhere company which means that you can choose to work in the environment that works best for you - on any given day. Whether you choose to work remotely from home or work in an office - it’s up to you.

The Role

We are looking for an experienced hands-on Data Engineer who is a self-starter who loves solving technical challenges and has prior experience working on a variety of data engineering projects in an energizing enterprise environment. In this role, you will be focused on building and maintaining highly scalable data platform and data pipelines for Opendata. We value end-to-end ownership, which puts you into the sweet spot of finding, designing, and implementing improvements to the product’s data pipelines as necessary.

What You'll Do

• Work on building and maintaining the next generation of Veeva Opendata data platform.
• Collaborate with Product managers and other engineers to design, build and deliver on various Opendata initiatives.
• Build and maintain scalable data pipelines using Apache Spark and SQL as required for the Opendata product
• Explore and use the latest technologies in the Cloud and Data and keep your skills current while you innovate

Requirements

• 5+ years of experience in Data Engineering in enterprise context working for top data companies.
• Deep knowledge and experience implementing scalable data solutions using Apache Spark and EMR
• Expert skills and experience with SQL
• Experience and proficiency in Python, Java and Unix scripting
• Ability to work independently in a fast-paced environment using agile development techniques.
• Expert knowledge and understanding of data lakes, data modeling/design and databases
• Experience working with ETL, Automation and Workflow managements tools like Airflow, Informatica, Nifi, Talend etc.
• Exceptional data talent with strong communication and analytical skills
• Bachelor’s degree in engineering/computer science or equivalent

Nice to Have

• Knowledge and experience with Docker and containerized applications.
• Experience with implementing ML solutions (Spark ML)
• Knowledge and experience with Javascript, Scala.
• Automated testing and CI/CD
• Familiarity with Databricks and AWS EKS.

Perks & Benefits

• Annual allocations for continuous learning, development & charitable contributions
• Fitness reimbursement

#BI-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. 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].