Senior Data Engineer, K Health

• Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills
• 5+ years of experience as a Data Engineer / Backend Engineer (with 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

Desirable

• 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
• 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