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Dassault Systèmes

Senior Data Engineer

Pay: Not specified

Posted: 5 weeks ago

Location: Woodbridge Township, NJ (Hybrid)

Last Updated: 2 weeks ago

Hours: Full-Time

Expires: 9/25/2026

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What they do

A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.

$116,216 / year median in New Jersey

+11% projected growth

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Job Description

Location:

Hybrid, Iselin, NJ Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week following Company policy. About our

Company:

Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (

Euronext Paris:

FR0014003TT8, DSY.PA

), Medidata is headquartered in New York City and has been recognized as a Leader by Everest Group and IDC. Discover more at www.medidata.com. Listen to our latest podcast, from Dreamers to Disruptors, and follow us at @Medidata. About the

Team:

Our Data Ops team empowers data-driven features across Factorial by providing advanced ingestion services (SaaS APIs, DBs, Streams), storage capabilities (Data Lake, Stream Storage), data quality, and governance. As a Senior Data Engineer, you will expand this mission by reinforcing our analytics realm. You will leverage data engineering best practices to implement and maintain robust, scalable data pipelines and processes. You will be part of a small, high-agency team driving the design and operation of data infrastructure that supports product developers, making data a core asset that powers both internal analytics and user-facing product features. We predominantly use Python and operate with a GitOps-driven mindset, running short development cycles with ephemeral dev environments to test, fail fast, and iterate quickly.