Data Engineer

Join our data engineering team as a Data Engineer. In this role, you will design and execute cross-engineering initiatives, develop high-quality data pipelines and models, and ensure data quality. You will work closely with data analysts, data scientists, engineers, and cross-functional teams to deliver high-quality solutions. The position offers a hybrid work schedule, comprehensive benefits, and equity in K Health for all full-time employees.

• Design, develop, and optimize data services and solutions required to support various company products, working closely with cross-functional teams.
• Design and integrate LLM- and agent-based capabilities into data platforms and services, enabling smarter data operations and AI-driven data products.
• Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines, while managing and optimizing large-scale data storage and processing systems.

• SQL Expertise: Deep experience in crafting complex queries, optimizing performance, and working with large datasets
• Python Proficiency: Proven ability to build services, solutions, data pipelines, automations, and integration tools using Python
• A passion for maintaining data quality and ensuring trust in business-critical data
• Strong knowledge of data modeling principles and best practices for relational and dimensional data structures
• 5+ years of experience as a Data Engineer / Backend Engineer (with strong emphasis on data processing)
• 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 in ML/AI development
• Experience with Kubernetes