Senior Data Engineer

About the role: 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. Location: New York City (onsite, four days a week). Immigration support is not provided. What you will do: Design, develop, and optimize data services and solutions required to support various company products (e.g., 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: 5+ years of experience as a Data Engineer / Backend Engineer with a strong emphasis on data processing. Python proficiency: proven ability to build services, solutions, data pipelines, automations, and integration tools using Python. SQL expertise: deep experience in crafting complex queries, optimizing performance, and working with large datasets. Strong knowledge of data modeling principles and best practices for relational and dimensional data structures. A passion for maintaining data quality and ensuring trust in business‑critical data. Bonus: Experience with cloud platforms (e.g., AWS, GCP, or Azure) for data engineering and storage solutions. Knowledge of data orchestration tools (e.g., Airflow). Understanding of CI/CD practices and version control systems. Experience with Kubernetes. Experience in ML/AI development. Benefits & Perks: Hybrid work schedule with weekly lunches and stocked fridges. Monthly social committees for company events. 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days. Stock options for every full‑time employee. Paid parental leave. 401(k) benefit. Commuter benefits. Competitive health, dental, and vision insurance options. #LI‑Hybrid Compensation: $150,000 – $200,000 USD Equal Opportunity Employer: We are proud to be an Equal Opportunity Employer and consider applicants for employment regardless of race, ethnicity, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, pregnancy, childbirth and breastfeeding, age, citizenship, military or veteran status, or any other class protected by applicable federal, state, and local laws. We’re deeply committed to building teams as diverse as the patients we serve and strive to cultivate an environment where everyone can bring their most authentic self to work. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our users. #J-18808-Ljbffr