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ProArch

Data Engineer

ProArch Athens, Georgia, United States

IT Services and IT Consulting · 201-500 employees

Sep 11
data-engineer Senior (5-10 yrs) Contractor United States
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About the role

The Data Engineer will manage the ingestion, transformation, and validation of healthcare data feeds while establishing reconciliation and quality controls. They will also support implementation workstreams, interface development, and production stabilization efforts.

What they look for

SQL ETL Data Integration Healthcare Data Medicaid Claims Data Ingestion Data Transformation Data Validation Data Reconciliation Data Quality Controls PRISM Atrezzo Troubleshooting Root-cause Analysis Stakeholder Communication

Requirements

Candidates must have experience with SQL, ETL processes, and healthcare-specific data environments like Medicaid claims. Strong skills in data quality monitoring, troubleshooting, and stakeholder communication are required to support the implementation lifecycle.

Full description

  • implementation and initial stabilization
  • Support the September ramp-up and October implementation of inbound and outbound data processes.
  • Ingest, transform, validate, and reconcile Gainwell, Arcadia, DHCS, and other approved data feeds within Acentra’s standard claims and eligibility environment.
  • Support Atrezzo-related interfaces or reportable extracts, as defined during implementation.
  • Establish data-quality, refresh, completeness, and reconciliation controls for PRISM, case creation, and reporting.
  • Participate in data-exchange workstreams and daily implementation huddles as needed.
  • Plan for an extension through initial production analytics and data stabilization if file specifications, interface requirements, or source-of-truth decisions are not finalized by the end of implementation.
  • SQL & ETL/Data Integration
  • Healthcare/Medicaid claims & eligibility data
  • Data ingestion, transformation & validation
  • Data reconciliation & quality controls
  • Experience with Gainwell, Arcadia & DHCS data
  • PRISM & Atrezzo interfaces/extracts
  • Data exchange/interface implementation
  • Production support & stabilization
  • Data quality, refresh & completeness monitoring
  • Troubleshooting and root-cause analysis
  • Strong stakeholder communication & implementation support

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