About The Role

Join K Health as a Senior Data Engineer, where you will be at the center of our data ecosystem. 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. This role 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.
Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines, ensuring data is clean, accurate, and ready for analysis.
Manage and optimize large-scale data storage and processing systems to ensure reliability and performance, while building and maintaining robust data models.
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)
A passion for maintaining data quality and ensuring trust in business-critical data
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
Strong knowledge of data modeling principles and best practices for relational and dimensional data structures
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

This is an external listing. JobSpring does not represent or verify the employer. Report this listing