Data Engineer - Veeva

Job Title: Data Engineer
Job Location: Missouri - Kansas City
Job Listing URL: https://jobs.lever.co/veeva/11964953-5818-429f-92a5-465e5ed8a3fc
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 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 data processing workflows in US. You will be building and maintaining data processing tools, 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.

Veeva is not sponsoring H1B or supporting H1 transfers for this role.
What You'll Do
Build and maintain data processing pipeline and tools using state-of-the-art technologies.
Work with Python on Spark-based data pipelines.
Develop algorithms to build complex data relationships.
Build analytical data structures to support reporting.
Build and maintain Data Quality processes.
Collaborate with Product team 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 or Java and Spark (3+ years of experience)
Previous experience building tools and libraries to automate and streamline data processing workflows.
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 DevOps pipelines
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 - $130,000
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.