Top 5 Data engineer v Jobs in Little Rock, Ar

Data Engineer V
EMPOWER HEALTHCARE SOLUTIONS —Little Rock, AR
- Full-time
- 6 years
- Computer Science
- HIPAA
1d
Data Analyst V
EMPOWER HEALTHCARE SOLUTIONS —Little Rock, AR
- Full-time
- 6 years
- HIPAA
- SQL
1d
Distribution Utility Inspector
WSB —Conway, AR
- Email
- Clean driving record
- Microsoft Outlook
- Construction site
- Paid holidays
- Disability insurance
Quick Apply
Air Compliance Permitting Specialist
Terracon —Little Rock, AR
- Full-time
- Microsoft Word
- Management
- Master's degree
- Paid holidays
- Health insurance

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Data Engineer V
EMPOWER HEALTHCARE SOLUTIONS —Little Rock, AR
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent experience.
1d

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Data Engineer V

EMPOWER HEALTHCARE SOLUTIONS -
Little Rock, AR

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Job Details

Full-time
1 day ago

Qualifications

Data integrity assurance
Data model design
Commercial use (data warehousing systems)
Cloud analytics services
Data Integration (Data management)
6 years
Computer Science
Requirements design
Cloud data warehouses
Automation
Data validation techniques
Technical documentation
Spark
CMS
Regulatory compliance
HIPAA
Medical coding guidelines
Data reporting
Information Systems
Scalable systems
Schema design
SQL
Data integrity and documentation
Technical solutions implementation
CMS regulatory compliance
Data Architecture Design (Architecture design skills)
Spark implementation
Bachelor's degree
Data integrity process (data warehousing)
Health insurance knowledge

Full Job Description

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.

Key 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

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

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data engineer v jobs in little rock, ar

Data Engineer V

Data Analyst V

Distribution Utility Inspector

Air Compliance Permitting Specialist

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