TELECOMMUTE Data Engineering

Palni Incorporated
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

API
Artificial Intelligence
Data analysis
Health Informatics
Crystal Reports (Reporting Software)
ETL
Data Mining
Dimensional Modeling
Healthcare Effectiveness Data and Information Set
Interoperability
Performance Tuning
Query Optimization
Power BI
SQL Server Integration Services
Tableau
T-SQL
Azure
Fast Healthcare Interoperability Resources
Snowflake
Microsoft Fabric
AI Platforms
Epic Clarity
Tools for Reporting
Epic Caboodle
Data Pipelines
Databricks

Job description

You will build and manage the Epic data foundation that powers Client's Healthcare Brain inside provider organizations. Working across Epic Clarity, Cogito, Caboodle, Reporting Workbench, and healthcare analytics platforms, you will design data pipelines, reporting solutions, and AI-ready datasets that support medical review, risk adjustment, quality measurement, referral management, and population health initiatives.

Roles & Responsibilities:

  • Epic Clarity data extraction, transformation, and healthcare reporting solutions.

  • Caboodle dimensional modeling and enterprise healthcare analytics frameworks.

  • ETL pipelines between Epic environments and Genzeon''''''''s AI platforms.

  • Reporting Workbench, Cogito, Radar, and operational dashboard development.

  • Risk adjustment, HCC, RAF, RADV, and quality-measure data initiatives.

  • HEDIS, CMS STAR Ratings, MIPS, ACO REACH, and population health reporting.

  • Audit, compliance, governance, and healthcare data quality frameworks.

  • Customer-facing engagement with Epic, BI, clinical informatics, and compliance teams.

Requirements

  • 5+ years of healthcare data engineering, analytics, or healthcare reporting experience.

  • Hands-on Epic Clarity experience in production healthcare environments.

  • Epic Cogito certification or equivalent Clarity reporting expertise.

  • Strong SQL Server / T-SQL skills including performance tuning and query optimization.

  • Experience with Caboodle, Reporting Workbench, and Epic reporting ecosystems.

  • ETL expertise using SSIS, Azure Data Factory, dbt, Matillion, Fivetran, or similar tools.

  • Healthcare data modeling knowledge including encounters, diagnoses, medications, labs, and clinical workflows.

  • Experience supporting HEDIS, CMS STAR, Risk Adjustment, HCC, RAF, or quality-measure programs.

  • Familiarity with Power BI, Tableau, Crystal Reports, or enterprise BI platforms.

  • Strong customer-facing communication and stakeholder management skills.

  • Claude-first engineering mindset and experience using AI-assisted development workflows.

Nice To Have

  • Epic Clarity Data Model and Caboodle certifications.

  • Healthy Planet, population health, or care management experience.

  • CMS-HCC, RADV, Medicare Advantage, or value-based care expertise.

  • Databricks, Snowflake, Microsoft Fabric, or modern healthcare analytics platforms.

  • HL7 FHIR R4 and healthcare interoperability knowledge.

  • Experience with provider-side AI, analytics, or healthcare automation initiatives.

  • Anthropic Claude API or Claude Code experience in production environments.

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