Senior Data Engineer – HIPAA X12 & EDI (On-site)

NationsBenefits; Plantation (FL); On-site; USD 130,000 - 170,000; Full time

Job summary

NationsBenefits is seeking an experienced Senior Data Engineer – EDI Claims Processing to join our Data Engineering team in Plantation, FL. You will design, develop, and maintain enterprise-scale healthcare data integration solutions focused on HIPAA X12 EDI transactions and CMS compliance.

Ideal candidates have deep expertise with Databricks, SQL Server, and HIPAA X12 standards, plus hands-on experience with Medicaid encounters and payer integrations to deliver scalable, reliable data platforms.

Qualifications

• Bachelor’s degree or equivalent experience in a relevant field.
• 5–8+ years as a Data Engineer or Healthcare Data Engineer.
• Strong knowledge of HIPAA X12 EDI standards and Medicaid CMS processing.

Responsibilities

• Design, develop, and optimize HIPAA X12 ingestion, parsing, validation, and delivery pipelines.
• Build ETL/ELT workflows using Databricks, PySpark, Delta Lake, and SQL Server.
• Manage Medicaid encounter submissions and CMS processing with regulatory updates.
• Develop automated validation frameworks for HIPAA compliance and data quality.
• Collaborate with Claims Ops, Compliance, and IT Security on data integration initiatives.

Skills

HIPAA X12 EDI

Medicaid Encounters

CMS Encounter Processing

EDI mapping & standards

PHI privacy

CI/CD familiarity

Data integration

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).

Tools

Databricks

PySpark

Delta Lake

SQL Server

T-SQL

Job description

NationsBenefits is seeking an experienced Senior Data Engineer – EDI Claims Processing to join our Data Engineering team in Plantation, FL. You will design, develop, and maintain enterprise-scale healthcare data integration solutions focused on HIPAA X12 EDI transactions and CMS compliance.

Ideal candidates have deep expertise with Databricks, SQL Server, and HIPAA X12 standards, plus hands-on experience with Medicaid encounters and payer integrations to deliver scalable, reliable data platforms.