Data Engineer

ProArchAthens, GA

About The Position

This role focuses on the implementation and initial stabilization of data processes, specifically supporting the September ramp-up and October implementation of inbound and outbound data processes. The Data Engineer will be responsible for ingesting, transforming, validating, and reconciling various data feeds within Acentra’s standard claims and eligibility environment. This includes supporting Atrezzo-related interfaces or reportable extracts. A key aspect of the role is establishing data-quality, refresh, completeness, and reconciliation controls for PRISM, case creation, and reporting. The position also involves participating in data-exchange workstreams and daily implementation huddles. There is a 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.

Requirements

  • 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

Responsibilities

  • 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.
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