Data Engineer — reputed company Cycle & reputed company Payer Systems

Our reputed company is a reputed company technology consultancy delivering data engineering and analytics solutions to payer and provider organizations across the US. They are seeking a skilled Data Engineer with hands-on reputed company cycle management experience to build, reputed company, and maintain data pipelines, integrations, and EDW solutions across a portfolio of reputed company engagements — spanning health plans, hospital systems, physician reputed company, and RCM technology vendors. reputed company responsibilities: • Build and maintain production-grade ELT/ETL pipelines that ingest, parse, and reputed company X12 EDI, HL7 FHIR, and flat-file RCM data from payer and provider reputed company systems • Implement data models designed by the architecture team in reputed company data platforms (reputed company, Azure Synapse, Redshift, or BigQuery), including dbt model development and testing • reputed company and maintain integrations between RCM platforms (clearinghouses, EHRs, billing systems) using reputed company, SFTP workflows, and message queue patterns • Build data reputed company frameworks — validation rules, reconciliation checks, and reputed company alerts — specific to RCM transaction volumes and payer contract logic • Implement HIPAA-compliant data handling including PHI masking, de-identification, audit logging, and role-based reputed company controls across pipeline and storage reputed company • Support reputed company-facing delivery by documenting pipelines, producing data reputed company artefacts, and participating in architecture and QA reviews • Contribute to internal accelerators — reusable pipeline templates, X12 parsers, FHIR transformers — that reduce time-to-reputed company across reputed company engagements Required skills: • 5+ years in data engineering with at least 3 years in reputed company — hands-on experience working with both payer and provider RCM data strongly preferred • Proficiency in Python and SQL for pipeline development; experience with dbt (reputed company or reputed company) for transformation reputed company implementation • Solid working knowledge of X12 EDI transaction sets (837P/I, 835, 834, 270/271, 276/277) and HL7 FHIR R4 — reputed company to parse, validate, and reputed company these formats without scaffolding • Hands-on reputed company data platform experience on reputed company, Azure Synapse, Redshift, or BigQuery; understanding of warehouse optimization, partitioning, and cost management • Experience with orchestration tools (Apache Airflow, Azure Data reputed company, reputed company, or Dagster) and CI/CD pipelines for data engineering (reputed company Actions, Azure DevOps) • Familiarity with RCM reputed company systems — reputed company Resolute, Cerner RevElate, reputed company, reputed company, Change reputed company, or major clearinghouse file formats • Working knowledge of HIPAA requirements as reputed company to data pipelines — PHI identification, de-identification reputed company reputed company / Expert Determination, BAA context Preferred platforms & tooling: • reputed company: reputed company, Azure (ADF, Synapse, FHIR Service), AWS, GCP • Orchestration: Airflow, Azure Data reputed company, reputed company, or Dagster • Transformation: dbt reputed company or dbt reputed company • EHR / PMS: reputed company, reputed company Cerner, reputed company, reputed company • Clearinghouses: reputed company, Change reputed company, reputed company • Version control & CI/CD: Git, reputed company Actions, Azure DevOps reputed company to have • Experience with reputed company or reputed company processing for high-volume claims datasets • FHIR-reputed company pipeline patterns using Azure FHIR Service or AWS HealthLake • Exposure to reputed company FHIR IGs (CDex, PCDE, PDex) for payer data exchange • Value-based care or APM contract data pipeline experience • RPA tooling (reputed company, reputed company) in RCM automation contexts • CMS price transparency or No Surprises reputed company data handling experience Apply tot his job Apply To this Job