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Senior Data Engineer – EDI Claims Processing

Job in Plantation, Broward County, Florida, 33388, USA
Listing for: NationsBenefits India
Full Time position
Listed on 2026-08-28
Job specializations:
  • Software Development
    Data Engineering, SQL Developer
Salary/Wage Range or Industry Benchmark: 130000 - 170000 USD Yearly USD 130000.00 170000.00 YEAR
Job Description & How to Apply Below

This is Syed Yousuf Uddin, I am a Senior Recruiter at Nations Benefits.
We are seeking an experienced Senior Data Engineer – EDI Claims Processing to join our growing Data Engineering team.

Location:
Plantation, FL (On-site)

Role:
Full-time

  • This role is responsible for designing, developing, and maintaining enterprise-scale healthcare data integration solutions focused on HIPAA X12 EDI transactions, Medicaid encounters, and CMS compliance.
  • The ideal candidate has extensive experience building high-volume data pipelines using Databricks and SQL Server, a deep understanding of HIPAA X12 transaction standards, and hands-on experience supporting healthcare claims processing, clearinghouse integrations, and regulatory compliance.
  • This is an excellent opportunity for a healthcare data engineering professional who enjoys solving complex integration challenges while delivering reliable, scalable, and compliant data solutions.

Key Responsibilities:

  • Design, develop, and optimize enterprise-grade ingestion, parsing, validation, transformation, and delivery pipelines for HIPAA X12 transactions, including:
  • 277CA (Claims Acknowledgment)
  • 999 (Implementation Acknowledgment)
  • Build scalable, high-performance ETL/ELT workflows using Databricks, PySpark, Delta Lake, and SQL Server.
  • Claims & Encounter Processing
  • Manage Medicaid encounter submissions, reconciliation, and error remediation with state Medicaid agencies.
  • Support CMS encounter processing by implementing regulatory updates, schema changes, and compliance requirements.
  • Collaborate with internal teams to ensure accurate and timely claims submissions.
  • Data Integration & Validation
  • Develop automated validation frameworks to ensure HIPAA compliance, SNIP validation, and business rule enforcement.
  • Maintain secure and reliable integrations with healthcare clearinghouses and trading partners.
  • Analyze and troubleshoot complex EDI processing issues across multiple systems.
  • Operational Excellence
  • Build monitoring, alerting, logging, and SLA reporting for production EDI workflows.
  • Continuously improve pipeline performance, scalability, and reliability.
  • Maintain technical documentation, mapping specifications, companion guide implementations, and data dictionaries.
  • Cross-Functional Collaboration
  • Partner with Claims Operations, Compliance, Product, IT Security, and external healthcare partners to support enterprise data integration initiatives.
  • Participate in architecture discussions and recommend best practices for healthcare data engineering.

Required Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
  • 5–8+ years of experience as a Data Engineer, Integration Engineer, or Healthcare Data Engineer.
  • Strong expertise with HIPAA X12 EDI transaction standards, including:
  • 277CA
  • 999
  • 834
  • 835
  • Hands-on experience with Medicaid encounter processing and state Medicaid submissions.
  • Experience implementing CMS encounter regulations, schema updates, and compliance changes.
  • Strong experience with Databricks, PySpark, Delta Lake, and SQL Server.
  • Experience with healthcare claims validation platforms such as HIPAA Suite or similar EDI processing tools.
  • Strong understanding of:
  • HIPAA regulations
  • PHI security and data privacy
  • EDI mapping, loops, segments, and companion guides
  • Experience integrating with healthcare clearinghouses such as Availity, Change Healthcare, or similar platforms.
  • Excellent troubleshooting, analytical, and problem-solving skills.
  • Preferred Qualifications
  • Experience with Azure Databricks or other cloud-based data engineering platforms.
  • Knowledge of healthcare interoperability standards such as FHIR and HL7.
  • Experience with encounter error remediation and state-specific Medicaid edit codes.
  • Background supporting Medicaid Managed Care, Medicare Advantage, or Accountable Care Organization (ACO) environments.
  • Experience building automated reconciliation, validation, and quality assurance frameworks for healthcare EDI transactions.
  • Familiarity with CI/CD pipelines and Dev Ops practices for data engineering.

Technical

Skills:

  • Databricks
  • Py Spark
  • SQL Server
  • T-SQL
  • HIPAA X12 EDI
  • Medicaid Encounters
  • CMS Encounter Processing
  • HIPAA Suite (or equivalent)
  • ETL / ELT Development

What You'll Bring:

  • Strong ownership mindset with the ability to work independently on complex technical initiatives.
  • Excellent communication and collaboration skills across technical and business teams.
  • Passion for building scalable, reliable, and compliant healthcare data solutions.
  • Commitment to delivering high-quality data engineering solutions in a fast-paced healthcare environment.
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Position Requirements
10+ Years work experience
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