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Data Engineer
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Scorecard
Based on Georgia data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$108,479 / year median in Georgia
+14% projected growth
Job Description
Data Engineer ProArch - 2.8 Athens, GA Job Details Contract $120,000 - $140,000 a year 1 day ago Qualifications Data integrity assurance Data Integration (Data management) Defect resolution root cause analysis Data validation techniques SQL Quality control management Data integrity process (data warehousing) Health information data integrity Integration Platforms (Enterprise solutions) Medicaid Application Maintenance Technical troubleshooting support Project stakeholder communication Failure analysis Production troubleshooting Full Job 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. 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