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H i, This is Syed Yousuf Uddin, I am a Senior Recruiter at NationsBenefits. We are seeking an experienced Senior Data Engineer – EDI Claims Processing to join our growing Data Engineering team. Title: Senior Data Engineer – EDI Claims Processing 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: EDI Data Pipeline Engineering Design, develop, and optimize enterprise-grade ingestion, parsing, validation, transformation, and delivery pipelines for HIPAA X12 transactions, including: 837 (Professional, Institutional, Dental Claims) 277CA (Claims Acknowledgment) 999 (Implementation Acknowledgment) 834 (Member Eligibility) 835 (Remittance Advice) 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: 837 (Professional, Institutional, Dental) 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 SNIP validation levels 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 DevOps practices for data engineering. Technical Skills: Databricks PySpark Delta Lake SQL Server T-SQL Azure Databricks (Preferred) HIPAA X12 EDI Medicaid Encounters CMS Encounter Processing HIPAA Suite (or equivalent) ETL / ELT Development Data Validation & Reconciliation Healthcare Claims Processing Azure (Preferred) 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. Best Regards, Syed Yousuf Uddin Sr. Talent Acquisition Specialist E: Syed.YousufUddin@nationsbenefits.com
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.