Remote Role :Inperson interview ::Healthcare Data Engineer

Healthfirst is seeking a Senior Data Engineer to lead complex data engineering projects in the healthcare insurance domain. The role focuses on designing data architectures, optimizing workflows, managing pipelines, and enabling analytics.

Responsibilities:

• Pipeline Development: Lead the development of data pipelines and architectures that handle large-scale data sets
• Architecture & Design: Design, construct, and test data architectures aligned with business requirements and Healthfirst solution architecture
• Technical Leadership: Provide technical leadership for data projects, ensuring best practices and high-quality data solutions
• Cross-Functional Collaboration: Collaborate with product, finance, and other business units to ensure data pipelines meet business objectives
• Analytics Enablement: Oversee the development of data solutions that enable predictive and prescriptive analytics
• Quality Assurance: Ensure the technical quality of solutions and manage data governance as it moves across environments

Requirements:

• 7–10 years overall IT experience (with a minimum of 5 years in the required technical skills)
• Healthcare Insurance
• Strong experience in Python Scripting and PySpark for data processing
• Proficiency in SQL for big data processing
• Expertise in BASH/Shell scripting
• Experience with the AWS cloud platform and its core data services (S3, Redshift, Lambda, EMR, Airflow, Glue)
• Strong understanding of the healthcare insurance domain
• Experience leading data engineering teams
• Experience working in Agile environments
• Excellent problem-solving skills and attention to detail
• Effective communication and collaboration skills