Lyric is a leading healthcare technology company focused on payment integrity and accuracy solutions. With over 30 years of experience, Lyric aims to simplify the business of care by leveraging machine learning and predictive analytics to empower health plan payers. The company provides a range of solutions, including Lyric 42 Platform, Pre-Pay Editing, Diagnostics Module, Coordination of Benefits, Concept Libraries, and LyricIQ, which combines AI-powered payment accuracy services. Additionally, Lyric focuses on transparency and responsibility in technology development, ensuring enhanced payment accuracy, administrative efficiencies, and reduced provider abrasion. As a trusted partner in the healthcare industry, Lyric continues to deliver cutting-edge technologies at the crossroads of healthcare and fintech, supporting health plans and providers in the shift to value-based care.
healthcare technology • claims editing • primary editing • secondary editing • solution hosting
February 18
Lyric is a leading healthcare technology company focused on payment integrity and accuracy solutions. With over 30 years of experience, Lyric aims to simplify the business of care by leveraging machine learning and predictive analytics to empower health plan payers. The company provides a range of solutions, including Lyric 42 Platform, Pre-Pay Editing, Diagnostics Module, Coordination of Benefits, Concept Libraries, and LyricIQ, which combines AI-powered payment accuracy services. Additionally, Lyric focuses on transparency and responsibility in technology development, ensuring enhanced payment accuracy, administrative efficiencies, and reduced provider abrasion. As a trusted partner in the healthcare industry, Lyric continues to deliver cutting-edge technologies at the crossroads of healthcare and fintech, supporting health plans and providers in the shift to value-based care.
healthcare technology • claims editing • primary editing • secondary editing • solution hosting
• Design, build, and maintain highly scalable, fault-tolerant, and efficient ETL/ELT pipelines for ingesting, transforming, and storing data from diverse sources. • Provide guidance support and mentorship, fostering a collaborative and growth-oriented environment. • Define and drive adoption of data engineering best practices.
• Bachelor’s degree in Software Engineering or related field or 12 + years in directly related field • 8+ years of experience as a Data Engineer or in a similar role, 8+ years building data pipelining • 3 years of experience with Snowflake including architecture • 2 years of experience leading Data Engineering efforts within a team • 5+ years in SQL and experience with modern ETL/ELT tools • 5 + years Programming expertise in Python, or .NET. • Experience with data streaming technologies (e.g., Kafka, Kinesis)
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