Staff Data Infrastructure Engineer

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November 7

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Lyric - Clarity in motion.

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Healthcare Insurance • Fintech • SaaS

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.

201 - 500 employees

⚕️ Healthcare Insurance

💳 Fintech

☁️ SaaS

📋 Description

• Design, build, and optimize scalable, multi-region data infrastructure on AWS, leveraging technologies such as Aurora PostgreSQL, RDS and Snowflake. • Lead the architecture and implementation of core data systems including ingestion, transformation, storage, and orchestration layers. • Own and improve reliability, performance, and cost efficiency of data stores and their environments. • Drive adoption of best practices in data modeling, observability, infrastructure as code ( IaC ) and CI/CD automation. • Design and scale distributed data systems (e.g., PostgreSQL /Aurora, Snowflake, Kafka, caching , etc.) across regions. • Collaborate cross-functionally with application, analytics, AI teams to enable self-service data capabilities. • Provide technical leadership, mentoring, and design reviews for other engineers. • Stay current with emerging data and cloud technologies, evaluating AWS, GCP, and Azure innovations for future adoption.

🎯 Requirements

• 8 + years of experience in Database or Data Infrastructure Engineering, including 5+ years focused on cloud-based data infrastructure. • 5+ years of hands-on experience in AWS data environments (Aurora, RDS, S3, IAM, Lambda, Glue, Athena, etc.) • Extensive expertise with PostgreSQL /Aurora, Snowflake, and modern data storage platforms. • Strong proficiency in languages supporting databases ( SQL, PL-SQL, Python, Shell scripting, etc.). • Proven ability to troubleshoot and optimize database performance and manage large-scale, high-throughput environments. • 5+ years of experience with Terraform and CI/CD pipelines for infrastructure automation.