Data Engineer V
EMPOWER HEALTHCARE SOLUTIONS•Little Rock, AR
•$1 - $1•Onsite
About The Position
The Data Engineer V is responsible for leading the design, development, and optimization of the organization’s enterprise data pipelines and core data models. This role ensures that healthcare payer data—including claims, eligibility, provider, encounter, and financial data—is reliable, scalable, secure, and analytics-ready. The Data Engineer V plays a key technical leadership role within the Microsoft Fabric platform and partners closely with Analytics leadership and multiple business stakeholders to deliver trusted data solutions that support regulatory, operational, and executive reporting.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent experience
- 6+ years of experience in data engineering
- Advanced SQL and data manipulation skills with strong automation experience
- Strong experience designing and maintaining enterprise data pipelines
- Hands-on experience with healthcare payer data (Medicaid preferred), including claims, eligibility, and provider data
- Solid knowledge of healthcare coding standards such as ICD, CPT, DRG, and NPI
- Experience with both on-premises and cloud-based data platforms
- Excellent communication and problem-solving skills, with the ability to manage multiple deadline-driven initiatives and address urgent operational requests with minimal project disruption
- Proven ability to work effectively with distributed teams, stakeholders, peers, and vendors
- Familiarity with health insurance industry standards and regulations, including HIPAA
- Extensive experience supporting healthcare regulatory and audit reporting
- Experience implementing data quality and reconciliation frameworks
Responsibilities
- Design, build, and optimize enterprise data pipelines using Microsoft Fabric Data Factory
- Lead ingestion and integration of healthcare payer data across multiple sources and business domains
- Develop reusable pipeline patterns, standards, and best practices to support scalable delivery
- Troubleshoot complex pipeline failures and performance issues to ensure reliable data processing
- Lead Microsoft Fabric development across OneLake, Lakehouse, and Warehouse environments; recommend Lakehouse or Warehouse approaches based on workload, performance, and business requirements
- Optimize SQL and Spark transformations for performance, reliability, and cost efficiency
- Maintain workspace, domain, and security standards in alignment with enterprise governance practices
- Create and maintain analytics-ready fact and dimension tables to support reporting and downstream analytics
- Apply healthcare business rules, including claims lifecycle, encounter logic, and payer-specific requirements
- Automate data quality, reconciliation, and validation processes to improve trust in enterprise data assets
- Investigate and resolve data quality issues in partnership with technical and business stakeholders
- Support CMS, state Medicaid, and financial audit readiness through accurate, well-governed data solutions
- Contribute to enterprise data governance standards, documentation, and operational procedures
- Review code, data models, and pipelines to ensure quality, maintainability, and compliance with standards
- Translate business and analytics requirements into scalable technical solutions
- Collaborate with vendors, business partners, and cross-functional teams to deliver data solutions
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What This Job Offers
Job Type
Full-time
Career Level
Senior
