Data Engineer

Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills. In this role, you will be at the heart of our data ecosystem, designing and executing cross-engineering initiatives and projects, as well as developing high-quality data pipelines and models that drive decision-making across the organization. You will play a key role in ensuring data quality, building scalable systems, and supporting cross-functional teams with clean, accurate, and actionable data.

This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support.

• Design, develop, and optimize data services and solutions required to support various company products (like FeatureStore or synthetic data management); Work closely with data analysts, data scientists, engineers, and cross-functional teams to understand data requirements and deliver high-quality solutions.
• Design and integrate LLM- and agent-based capabilities into data platforms and services, enabling smarter data operations and AI-driven data products.
• Design, develop, and optimize scalable data pipelines to ensure data is clean, accurate, and ready for analysis.
• Build and maintain robust data models that support clinical, business intelligence, and operational needs.
• Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines.
• Manage and optimize large-scale data storage and processing systems to ensure reliability and performance.

What we’re looking for:

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