Staff Data Engineer - Data Nexus

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent practical experience.
• 8+ years of professional software or data engineering experience, including experience designing and operating large-scale production data systems.
• Strong understanding of modern data engineering patterns including ETL/ELT, Change Data Capture, streaming, data modeling, data migration, and distributed data processing.
• Strong software engineering fundamentals with proficiency in SQL and experience with languages such as Python, Java, Scala, or equivalent.
• Experience with modern cloud data platforms, transformation frameworks, and workflow orchestration technologies such as Snowflake, dbt, Airflow, or comparable platforms.
• Experience designing and operating cloud-native data solutions on AWS or another major cloud platform.
• Hands-on experience with streaming and lakehouse technologies such as Apache Flink, Kafka, Apache Iceberg, Amazon S3, and enterprise data catalog technologies such as AWS Glue or comparable platforms.
• Strong understanding of scalability, performance, security, data quality, observability, reliability, and production operations.
• Demonstrated ability to lead complex technical initiatives spanning multiple applications, systems, and engineering teams.
• Strong communication and technical leadership skills, including mentoring engineers and influencing architectural and engineering decisions.
• Practical experience incorporating AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, or equivalent tools into software engineering workflows.

Preferred Qualifications

• Experience building AI-enabled data applications and Generative AI use cases such as Retrieval-Augmented Generation (RAG), natural-language-to-SQL, conversational analytics, intelligent data discovery, or semantic search.
• Experience with LLMs, embeddings, vector databases, metadata enrichment, knowledge retrieval, or similar AI/data architectures.
• Experience applying AI to data engineering use cases such as automated schema mapping, data transformation generation, data classification, anomaly detection, data-quality analysis, or intelligent pipeline troubleshooting.
• Experience integrating AI/ML models or agentic workflows with enterprise data platforms, APIs, and production data pipelines.
• Familiarity with AI platform concepts such as model gateways, MCP, prompt and context management, evaluation, observability, security, and responsible AI practices.
• Experience with large-scale enterprise or clinical data migrations, analytics platforms, APIs, or reusable data products.
• Experience with infrastructure automation and modern engineering practices using technologies such as Kubernetes, Terraform, GitHub Actions, or equivalent.
• Experience in life sciences, healthcare, clinical trials, or another regulated environment.

As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location.

• The salary range for positions that will be physically based in the NYC Metro Area is $135,000-180,000
• The salary range for positions that will be physically based in all other locations within the United States is $120,750-161,000.

Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides benefits, including medical, dental, life and disability insurance, 401(k) matching, family leave, flexible paid time off; and 10 paid holidays per year.

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Equal Employment Opportunity:

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

We will accept applications on an ongoing basis until we fill the position.