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:
  1. A conversation with the hiring manager
  2. A practical case exercise
  3. 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.

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Veeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

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.