Healthcare Data Engineer - Local to NJ for F2F

Kaizen Technologies is seeking a Healthcare Data Engineer to lead complex data engineering projects, design data architectures, and optimize data workflows and pipelines. The role provides technical leadership and develops data solutions for analytics, aligning architecture with Healthfirst’s solution architecture.

Responsibilities:

• Leads development of data pipelines and architectures that handle large-scale data sets
• Designs, constructs, and tests data architecture aligned with business requirements
• Provides technical leadership for data projects, ensuring best practices and high-quality data solutions
• Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements
• Oversees development of data solutions that enable predictive and prescriptive analytics
• Ensures the technical quality of solutions, managing data as it moves across environments
• Aligns data architecture to Healthfirst solution architecture

Requirements:

• 8+ Years overall IT experience with minimum 5 years of work experience in below tech skills
• Strong experience in Python Scripting and PySpark for data processing
• Proficiency in SQL, dealing with big data processing
• Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Glue)
• Expertise in BASH/Shell scripting
• Strong understanding of healthcare insurance domain and experience leading data engineering teams
• Experience in Agile environments
• Excellent problem-solving skills and attention to detail
• Effective communication and collaboration skills
• 10+ Years