Data Engineer - Data Nexus

Location
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This is a hybrid remote/in-office role.

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
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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  . Listen to our latest podcast, from Dreamers to Disruptors , and follow us at @Medidata.

The Data Nexus team within Medidata Study Experience builds the modern data foundation that connects clinical applications, customer data, analytics, and enterprise integrations.

Our mission is to make clinical operational data easier to ingest, migrate, transform, govern, and consume  build capabilities spanning large-scale customer and third-party study migrations, near-real-time CDC and streaming pipelines, reusable data products, analytics and reporting, and cross-product data integrations.

We are modernizing our platform around cloud-native and lakehouse architectures using technologies including AWS, Snowflake, dbt, Airflow, Apache Flink, Amazon S3, AWS Glue, and Apache Iceberg. We treat data as a product and build trusted, reusable capabilities that power Medidata applications, customer integrations, analytics, and emerging AI/ML experiences.

Who you are:

As a Staff Data Engineer, you will be a hands‑on technical leader responsible for solving complex data engineering problems, influencing architecture and technical direction, driving strategic initiatives across teams, and raising engineering standards across Data Nexus.

• Lead the architecture, design, and implementation of scalable data ingestion, migration, CDC, streaming, and ETL/ELT solutions.
• Provide technical leadership for large-scale customer and third‑party clinical study data migrations.
• Design and build reusable data products and services supporting Medidata applications, analytics, reporting, AI/ML, and customer integrations.
• Drive modernization across cloud data warehousing, workflow orchestration, streaming, and lakehouse architectures.
• Design scalable data models, transformation frameworks, APIs, and integration patterns for complex operational and analytical workloads.
• Improve data quality, observability, performance, reliability, security, and cost efficiency across the platform.
• Lead technical design and architecture discussions and collaborate across Product, Engineering, QA, Architecture, and other teams to deliver complex initiatives.
• Mentor engineers, review designs and code, and establish engineering patterns and best practices across the team.
• Leverage AI‑assisted engineering tools such as Git Hub Copilot, Claude Code, Cursor, and similar technologies to accelerate development, refactoring, testing, troubleshooting, and documentation.
• Identify opportunities to apply Generative AI and intelligent data experiences to improve how users discover, understand, and interact with clinical data.

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or…