Staff Data Engineer

Lyric is an AI-first, platform-based healthcare technology company, committed to simplifying the business of care by preventing inaccurate payments and reducing overall waste in the healthcare ecosystem, enabling more efficient use of resources to reduce the cost of care for payers, providers, and patients. Lyric, formerly ClaimsXten, is a market leader with 35 years of pre-pay editing expertise, dedicated teams, and top technology. Lyric is proud to be recognized as 2025 Best in KLAS for Pre-Payment Accuracy and Integrity and is HI-TRUST and SOC2 certified, and a recipient of the 2025 CandE Award for Candidate Experience. Interested in shaping the future of healthcare with AI? Explore opportunities at lyric.ai/careers and drive innovation with #YouToThePowerOfAI.

Applicants must already be legally authorized to work in the U.S.  Visa sponsorship/sponsorship assumption and other immigration support are not available for this position.

Staff Data Engineer

The Staff Data Engineer plays a pivotal role in advancing our products and services by shaping solution design and supporting strategic decision-making. This individual collaborates closely with engineers, clinical experts, payment professionals, and business operations leaders to build and optimize data pipelines and analyze large-scale healthcare claims and clinical datasets. By leveraging scalable data architecture and engineering best practices, the Staff Data Engineer drives innovation and improves outcomes across the organization.

ESSENTIAL JOB RESPONSIBILITIES & KEY PERFORMANCE OUTCOMES

• Work cross functionally to identify opportunities for leveraging company data to drive business solutions.

• Design, build, and maintain robust data pipelines to support optimization and improvement of product development, sales, marketing techniques and business strategies.

• Assess the effectiveness and accuracy of new data sources and data gathering techniques.

• Develop custom data models, pipelines, and architecture to apply to large-scale data sets.

• Build scalable, reliable data infrastructure to optimize customer experiences, revenue generation, and other business outcomes.

• Coordinate with different functional teams to implement data solutions and monitor pipeline performance.

• Develop processes and tools to monitor and analyze data pipeline performance, data quality, and data accuracy, including responsible AI practices.

• Champion innovation in data engineering practices, evaluating and introducing new tools, architectures, and techniques to keep the organization at the leading edge.

REQUIRED SKILLS & EXPERIENCE

• Minimum of five (5) years experience building data pipelines and engineering large-scale data sets

• Advanced level SQL coding & query optimization

• Experience with healthcare data and standard UB/HCFA claim fields

• Experience with data pipelines and architecture in Snowflake on Cloud Platforms (strongly preferred)

• Experience using programming languages (Python, SQL, etc.) to build data pipelines and process large data sets.

• Experience working with Java, Spark and/or Python

• Experience working in Project Management tools (Jira, Confluence)

PREFERRED SKILLS & EXPERIENCE

• Strong problem-solving skills with an emphasis on product development.

• Excellent written and verbal communication skills for coordinating across teams.

• Drive to learn and master new technologies and techniques, with a passion for driving innovation.

• Knowledge of modern data pipeline orchestration and ETL/ELT tools and their real-world advantages/drawbacks.

• Knowledge of data architecture and modeling concepts (dimensional modeling, data warehousing, distributed systems, etc.) and experience with applications.

• Experience in analytic report and dashboard development.

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

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 strives to create an inclusive environment, empower employees and embrace collaborative success.