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Feed Integrations Associate

Integrations Associate responsible for implementing, maintaining, and optimizing eligibility and claims data feeds for Garner's healthcare platform. Requires analytical skills, familiarity with healthcare file formats (EDI 834/837), SFTP/PGP, and strong cross-functional communication. 0-5 years healthcare data experience.

About the job

Responsibilities

  • Lead implementations of new client eligibility and claims data integration feeds
  • Own maintenance and improvement of existing eligibility and claims data integration feeds
  • Conduct in-depth data analysis and error reporting to validate feed performance and troubleshoot discrepancies
  • Collaborate with external feed providers to gather technical requirements, map files, test integrations, and resolve issues for renewing clients
  • Contribute to the continuous improvement of internal tools, documentation, and processes

Requirements

  • Analytical mindset with a keen attention to detail and a drive for root-cause problem solving
  • 0 - 5 years of experience with healthcare data, including eligibility and claims file formats (e.g., EDI 834, 837, custom flat files)
  • Familiarity with data integration protocols such as SFTP, encryption standards (e.g., PGP), and file transformation/mapping
  • Strong communication skills with experience working cross-functionally and externally with partners
  • A proactive, collaborative approach and a willingness to get hands-on with complex work
  • Passion for transforming healthcare and improving outcomes for members and clients
  • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Compensation

  • Base salary range: $54,000 - $70,000
  • Eligible for equity incentive and competitive benefits including flexible PTO, Medical/Dental/Vision, 401(k), Teladoc Health and more.

Skills

Edi 834, Edi 837, Sftp, Pgp, Data Analysis, Healthcare Data, File Mapping, Data Integration, Root Cause Analysis

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