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

The NitroAI team is seeking a Senior Data Engineer to build and maintain the data engineering infrastructure that powers our analytics delivery. You'll work alongside data scientists and analytics teams to productionize manual solutions, build governed datapipelines, and deliver data to customers at scale. This is a high-impact, high-ownership role in a startup-like environment within Veeva — with immediate influence over how NitroAI delivers data across a growing multi-tenant platform.

What You'll Do

Own the Airflow codebase end-to-end (MWAA, ~100 DAGs currently): build reusable templates, scale patterns, enforce standards, improve testing infrastructure

Serve as delivery teams’ go-to on pipeline architecture and troubleshooting

Own data onboarding when we connect to a new source including connection setup, schema discovery, initial pipeline design

Operate and extend large-scale Spark pipelines on AWS Glue, including multi-TB joins and compaction jobs, and support migration of those workloads to Databricks as we move platforms

Drive data model improvements around our commercial pharma data (patient claims, KOL and HCP data, CRM activity) with a focus on structure, lineage, and how it flows through the platform

Contribute to and maintain our internal Python package used across the data team

Requirements

5+ years building data models and pipelines

2+ years production Airflow experience

2+ years Spark at scale: hands-on experience with multi-TB datasets; AWS Glue experience preferred

Strong python and SQL

AWS fluency in S3, ECS/Fargate, Glue, IAM, Secrets Manager

Clear communicator who can teach: onboarding analytics team to the codebase and developing team Airflow capability is a core part of this job, not a side responsibility

Nice to Have

Experience working with privacy-sensitive or governed data

Databricks experience – we’re actively migrating Glue workloads there

Proficiency with Claude Code

Exposure to data science workflows and ML pipeline tooling

Background in life sciences or healthcare

Experience with Open Meta data or similar data catalog and data dictionary tooling

Interviewing with Veeva

We value your time and believe in a transparent hiring process. Here is the process you can expect.

Follow the application process and submit your resume.

Within 3 days, you will receive a link to a personality assessment administered by a third party.

Once you complete the assessment, our team will review your full application package and follow up via email with our decision.

If moving to the interview stage, the process is as follows

A conversation with the hiring manager

A practical case exercise

A final conversation with our group's Senior Leader.

Once all interviews are complete, the manager will be in touch with a final decision.

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.