Description

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and support X12 EDI processing capabilities, particularly 837, 835, and 834 transactions.
• Develop high-volume, production-grade data engineering solutions.
• Work with Delta Lake, Apache Spark, Databricks Notebooks, and Pipelines.
• Process and transform healthcare enrollment, eligibility, and claims-related data.
• Ensure data security and compliance with HIPAA guidelines, including PII and PHI handling.
• Troubleshoot, optimize, and maintain existing data pipelines.
• Work independently in a fast-paced program environment.

Required Skills:

• 6+ years of experience in Data Engineering.
• Strong hands-on experience with Databricks (Delta Lake, Spark, Notebooks, Pipelines).
• Strong working knowledge of X12 EDI standards – 837, 835, and 834.
• Proficiency in Python and PySpark.
• Experience building and maintaining high-volume, production-grade data pipelines.
• Healthcare domain experience with knowledge of PII, PHI, and HIPAA compliance.
• Familiarity with healthcare enrollment and eligibility data workflows.
• Ability to work independently and deliver in a fast-paced environment

Key Skills

Education

Bachelor's degree