Implementation Engineer

8 hours ago

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Description

• Collaborate with clients to perform a comprehensive data model discovery, and map their data model to revology SaaS solution data model(s) to ensure compatibility and accuracy. • Work with clients and third-party vendors to build, refine, and test data file extracts from their EHR and Practice Management Systems. • Validate data file extracts for completeness, correctness, and referential integrity to maintain the highest standards of data quality. • Communicate regularly with clients to understand their needs, address their concerns, and ensure they are aligned throughout the implementation process. • Assist clients with semi-technical troubleshooting, and guide them through issues related to data extraction and mapping. • Knowledge of SQL is preferred but not required. • Document all processes and procedures, providing clients with clear guidance and support materials to aid their understanding and usage of our system. • Ensure that the final deliverables meet client requirements and maintain revology’s standards for data integrity and functionality. • Positively and deliberately engage with colleagues - external and internal - to foster collaborative and productive relationships. • Comply with and hold with utmost regard all compliance requirements to protect patient privacy and confidentiality. • Stay curious, kind and contribute positively to the revology culture. • The health + harmony of the team is everybody’s responsibility at revology.

Requirements

• Proven ability to build strong, trust-based relationships with clients and internal stakeholders, ensuring a seamless onboarding experience that prioritizes client success. • 3+ years experience working with healthcare systems (such as: EHR, Practice Management, Patient Accounting) in a client-facing or technical role is required. • Excellent verbal and written communication skills; demonstrated ability to handle complex client interactions with professionalism. • Experience in data mapping, extraction, and validation processes. • Knowledge of SQL or similar query languages is preferred but not required. • Strong analytical skills and attention to detail, especially in validating and verifying data accuracy. • Ability to manage multiple implementation projects simultaneously, prioritize tasks, and meet project deadlines.

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