Senior Data Engineer

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 $3B 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


A Senior Data Engineer who can lead the design and implementation of our next-generation Data Lakehouse. In this role, you will be designing and implementing our unified storage and compute layer, bridging the gap between the flexibility of a data lake and the performance of a traditional warehouse. You will be responsible for designing data ingestion for a large volume of data, and optimizing the storage for performant downstream analytics.


What You'll Do

• Design and implement a scalable Lakehouse environment. Own the lifecycle of efficient storage, including schema evolution, partition transformation, and snapshot management.
• Build and manage real-time and batch data ingestion pipelines using Kafka and Spark
• Deploy, manage, and scale data workloads (such as Spark executors) using Kubernetes (EKS).
• Develop complex ETL workflows. Optimize jobs for large-scale data processing focusing on memory management and shuffle optimization.
• Manage and monitor end-to-end data lifecycles using orchestration tools
• Write and tune high-performance queries against the Lakehouse. Implement optimization strategies, compaction, and data skipping to reduce latency and cloud costs

Requirements

• 5+ years in Data Engineering, with at least 2 years focused on Lakehouse or modern Data Lake environments
• Hands-on experience with AWS ecosystems, async/queue processing in a production environment and working with a Lakehouse
• Expert in workflow management, data transformation, storage and exchange at scale.
• Proven experience with events driven job processing. Mastery in data ingestion, processing large-scale data and performance tuning.
• Experience with Kubernetes and infrastructure as code

Nice to Have

• Experience with query engines like Starrocks or Druid
• Familiarity with building and monitoring dashboards on K8s-based data clusters

Perks & Benefits

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

Compensation

• Base pay: $115,000 - $175,000
• 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-Remote

#LI-MidSenior

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 View email address on click.appcast.io .

Work Where It's Best for You


Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for each person. This applies across all locations and departments.


Work Anywhere does not mean work at any time. We have predictable core hours where employees are generally available for meetings and collaboration. Employees are focused and available during core hours.


We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Our offices function as hubs to draw people in, create social bonds, and where random connections and mixing of ideas happen. We're investing more in offices, culture, and offsite meetings, not less.


Product teams are organized in regional product hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly.


Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers.


When an employee moves within a country it does not cause a change in salary. Where you live impacts you and your family. Not knowing if your compensation will change if you move can cause stress and uncertainty for everyone. We wanted to eliminate that.


Work at Veeva. Work where it's best for you.