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. Were 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 IT Data Engineer to help support the IT organization’s data strategy in support of our business customers, as well as internal initiatives. If you are a “Data Person,” who knows how to build data pipelines, aggregate data from multiple sources into a common data store and have experience with industry-leading cloud data platforms and scripting, we’d love to talk with you.

The Data Engineer will work closely with Veeva’s IT Data Architect, Integration Engineers, Business Operations customers, and Services Partners to help advance our data and analytics ambitions.

This role will serve as a hands-on contributor and be a thought leader in the areas of data engineering, cloud data strategy, Business Intelligence, Data Modeling and ETL/ELT.

What Youll Do

Work with the IT Data Engineering Team and assist in developing the next generation data and analytics infrastructure
Write high quality SQL code to retrieve and analyze data from database tables (primarily Databricks)
Develop high quality SQL models for ad-hoc requests, as well as ongoing reporting/dashboarding
Continually improve SQL models through automating or simplifying self-service support for datasets
Work directly with business stakeholders to translate between data and business needs

Requirements

Bachelors degree in Computer Science, Information Systems, Engineering, Data Science, or other similarly technical related field Mathematics, or specialized training/certification. Or equivalent work experience
1+ year professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake
1+ year experience with advanced SQL data modeling and query optimization
Must have advanced SQL modeling skills (dbt is a plus)
Must have proficient Python scripting skills
Proficiency in using visualization tools such as Tableau, Domo, or Power BI
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong verbal, written & presentation skills with the ability to effectively communicate complex technical information to personnel at all levels of the organization

Nice to Have

Specific experience with Data Warehouse/Data Lake configuration and development using Databricks platform
Experience with Tableau/Sigma Computing
Experience operating in an Agile development environment
Familiarity with usage of Agile tools (JIRA/Confluence)
Understanding of CI/CD deployment models and release strategy as well as SCM tools (Git preferred) and code management best practices
Experience in AWS environment
Experience with cloud ELT platforms such as AWS Glue, Talend Stitch, or FiveTran

Perks & Benefits

Medical, dental, vision, and basic life insurance
Flexible PTO and company paid holidays
Retirement programs
1% charitable giving program

Compensation

Base pay: $65,000 - $105,000
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.

## 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 talent_accommodations@veeva.com.