Staff Data Engineer

Lyric, formerly ClaimsXten, is a leading healthcare technology company, committed to simplifying the business of care. Over 30 years of experience, dedicated teams, and top technology help deliver more than $14 billion of annual savings to our many loyal and valued customers—including 9 of the top 10 payers across the country. Lyric’s solutions leverage the power of machine learning, AI, and predictive analytics to empower health plan payers with pathways to increased accuracy and efficiency, while maximizing value and savings. Lyric’s strong relationships as a trusted ally to customers resulted in recognition from KLAS as “true partner” and “excellent value for investment,” with a top score for overall customer satisfaction and A+ likelihood to recommend in their October 2023 Payment Integrity and Accuracy Report. Discover more at Lyric.ai. 

Lyric is seeking a highly skilled Staff Data Engineer to establish and lead the foundation of our modern data platform. In this role, you will play a critical part in designing, building, and optimizing scalable data architecture, enabling seamless data integration and analytics across the organization.

Responsibilities:

Technical Mastery:

· Bring your expertise in Snowflake architecture, data modeling, performance tuning, and optimization to define and implement Lyric Data Platform strategy

· Design, build, and maintain highly scalable, fault-tolerant, and efficient ETL/ELT pipelines for ingesting, transforming, and storing data from diverse sources.

Problem Solving and Innovation:

· Assess and identify new data engineering tools, frameworks, and platforms to improve scalability, efficiency, and automation.

· Conduct proof-of-concept (PoC) evaluations to determine the feasibility and impact of new technologies.

Independence and Mentorship:

· Provide guidance support and mentorship, fostering a collaborative and growth-oriented environment.

· Define and drive adoption of data engineering best practices

Qualifications

• · 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)

***The US base salary range for this full-time position is:

$143,327.23 - $214,990.85

The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. Please note that the compensation details listed in US role postings reflect the base salary only, and does not reflect the value of the total rewards compensation. ***

Lyric is an Equal Opportunity Employer that drives superior business results by understanding and leveraging diversity. We strive to maximize the productivity and performance of our employees by fostering a winning team spirit and high personal accountability. Everyone is encouraged to respond including women, people of color, veterans, people with disabilities, all lifestyles, beliefs and generational diversity.