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IS Population Health Data Engineer

Job in Concord, Cabarrus County, North Carolina, 28025, USA
Listing for: Daymark Recovery Service
Full Time position
Listed on 2026-08-05
Job specializations:
  • Business
    Data Analyst
Job Description & How to Apply Below

IS Population Health Data Engineer

Cabarrus Center - Concord, NC 28025

Description

Our mission is to inspire and empower people to seek and maintain recovery and health. Daymark Recovery Services, Inc. is a mission driven, comprehensive community provider of culturally sensitive mental health and substance abuse services.

Comprehensive Benefits Package
  • Medical, Dental and Vision Insurance
  • Health Spending Account
  • Company-Paid Life Insurance
  • Short Term Disability
  • 401(k)
  • Paid Holidays
  • Paid Vacation and Sick Leave
  • Employee Assistant Program
  • Referral Bonus Opportunities
  • Extensive Internal Training Program

Pay Scale: 48k-50k

Summary

The IS Population Health Data Engineer is a vital member of the Information Systems team responsible for developing and maintaining data tools that support population health management, quality reporting, and value-based care initiatives. This position works in close collaboration with the agency's Quality Improvement (QI) team, but focuses primarily on the technical and analytical side—building SQL queries, validating performance metrics, and developing reports that identify gaps in care and documentation.

Using the Next Gen Population Health platform (formerly Eagle Dream), the engineer translates clinical and regulatory quality measures into actionable logic and dashboards that help frontline staff and leadership monitor compliance and improve outcomes.

In addition to data development, this role supports clinical and operational teams in designing workflows that resolve care gaps, improve documentation, and meet reporting standards such as UDS, HEDIS, and payer-based programs. The ideal candidate combines strong SQL and data modeling skills with an understanding of healthcare operations and a passion for transforming raw data into meaningful action.

Essential Duties and Responsibilities
  • Develop and validate SQL-based logic to support the calculation and tracking of clinical quality measures (e.g., UDS, HEDIS, CMS) within the population health platform
  • Collaborate with clinical teams to design workflows that improve provider compliance with quality measures and care gap resolution
  • Monitor and troubleshoot data pipelines feeding the population health platform, including resolving discrepancies between EHR and reporting output
  • Translate performance metrics into technical specifications for reporting and EHR prompts
  • Assist in the creation of dashboards, alerts, and patient lists to support proactive care outreach
  • Stay up to date with payer requirements and industry standards for quality reporting and interoperability (e.g., FHIR, NCQA)
  • Perform miscellaneous job-related duties as assigned
Special Attributes
  • Strong knowledge of clinical quality reporting standards and population health frameworks
  • Ability to analyze, interpret, and validate health data from diverse sources
  • Familiarity with electronic health record systems (Next Gen preferred)
  • Strong SQL skills and comfort working in structured data environments
Qualification Requirements
  • Ability to interpret technical specifications for quality measures (e.g., UDS, HEDIS, MIPS)
  • Strong communication skills to collaborate with clinical, operational, and technical teams
  • Comfort with clinical workflows and aligning data tools to frontline care practices
  • Proficiency with relational databases and performance measure development
Education and/or Experience
  • Bachelor's degree in Public Health, Data Science, Health Informatics, or a related field preferred
  • At least 2 years of experience in population health, EHR data reporting, or clinical analytics
  • Experience with SQL and healthcare quality reporting systems required
  • Experience with Next Gen Population Health or similar platforms strongly preferred
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