Data Engineer (remote)

Veeva Systems; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Work from anywhere

Flexible work options

Career growth opportunities

Job summary

Veeva Systems is a data-driven innovator in life sciences, enabling faster therapies through robust data pipelines and cloud platforms. As a Data Engineer, you will design, implement, and optimize large-scale data flows using Java or Python, Spark, and modern data tooling.

You will collaborate with data science and analytics teams to operationalize ML models, ensure reliability with observability, and contribute to the evolving data platform architecture across AWS/GCP environments.

Qualifications

• Experience building scalable data pipelines.
• Proficient in Java or Python and Spark.
• Experience with cloud platforms (AWS or GCP).

Responsibilities

• Design and maintain data pipelines for Veeva Link data platform.
• Collaborate with data science to deploy ML models.
• Ensure observability and logging for data jobs.

Skills

Java

Python

Spark

Data pipelines

Cloud (AWS/GCP)

SQL

CI/CD

Terraform

ML model deployment

Tools

Terraform

CI/CD

Job description

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. Do the Right Thing, Customer Success, Employee Success, and Speed. 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. It helps professionals to find the right people for, e.g., This streamlined access helps to reduce the time-to-market of important drugs, conduct trials with the most relevant experts in the respective field, and spread information about new treatments to key people in the life science community. As a data engineer, you focus on our data pipelines and take responsibility for a major part of the Link data processing platform. We value end-to-end ownership, which puts you into the sweet spot of finding,
designing, and implementing improvements to the product's data pipelines and adjusting them to changing demands of the market. You take responsibility for features and innovation using SOLID and clean software principles, take part in the architectural enhancement process and care for the quality of the outcome. Monitoring, metrics, and general observability are part of the feature design process. Work on Veeva Link s next-gen Data Platform Work with JVM-based languages or Python on Spark-based data pipelines Operate ML models in close cooperation with our data science team Expert skills in Java or Python Experience writing software for the cloud (AWS or GCP) Speaking and writing in English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions Experience with operating machine learning models (e.g., Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DevOps skills, including terraform and general CI/CD experience Previously