21 days ago
Base Salary
$150k - $175k/yr
Responsibilities
- Design, develop, and optimize data services and solutions supporting company products such as FeatureStore and synthetic data management.
- Collaborate with data analysts, data scientists, engineers, and cross-functional teams to understand requirements and deliver high-quality data solutions.
- Design and integrate LLM- and agent-based capabilities into data platforms and services.
- Build and optimize scalable data pipelines that produce clean, accurate, analysis-ready data.
- Build and maintain data models for clinical, business intelligence, and operational needs.
- Implement data quality standards, monitoring, and best practices across systems and pipelines.
- Manage and optimize large-scale data storage and processing systems for reliability and performance.
Requirements
- At least 5 years of experience as a Data Engineer or Backend Engineer with a strong emphasis on data processing.
- Proficiency in Python for building services, solutions, data pipelines, automations, and integration tools.
- Deep SQL experience, including complex query development, performance optimization, and work with large datasets.
- Strong knowledge of relational and dimensional data modeling principles and best practices.
- Commitment to maintaining data quality and trust in business-critical data.
- Bonus: experience with AWS, GCP, or Azure for data engineering and storage solutions.
- Bonus: knowledge of Airflow or other data orchestration tools.
- Bonus: understanding of CI/CD practices and version control systems.
- Bonus: experience with Kubernetes.
- Bonus: experience in ML/AI development.
Benefits
- Monday through Thursday onsite in the New York City office, with Fridays remote.
- Weekly lunches on Monday, Tuesday, and Thursday, plus a stocked kitchen with healthy snacks and beverages.
- Monthly social committees and 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.
- 401k benefit.
- Commuter benefits.
- Competitive health, dental, and vision insurance options.
Tech Stack
Categories
Data Engineering
About K Health
K Health builds an AI-enabled platform for virtual and in-person primary care, delivered via a mobile app and through health-system partnerships. The company licenses its clinical AI (PatientGPT) and staffs 24/7 virtual clinics to help partners manage large patient populations and close care gaps. Founded in 2016 and headquartered in New York City, K Health’s partners include Mayo Clinic and Mass General Brigham.