TELECOMMUTE Analytics Engineer (EPIC)

Amtex Enterprises
2 days ago

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

Artificial Intelligence
Big Data
Information Engineering
Data Infrastructure
ETL
Data Visualization
Healthcare Effectiveness Data and Information Set
Power BI
Azure
Tableau
Data Ingestion
Sql Optimization
Large Language Models
Snowflake
Electronic Medical Records
Data Lake
Data Analytics
Epic Clarity
Data Pipelines
Databricks

Requirements

  • Epic (Required): Experience with Epic is a must, even if across different modules.
  • Healthcare (Required): Must understand core healthcare concepts-physician workflows, CPT codes, Medicare Advantage, etc.
  • BI (Required): This is a core BI Developer role. The candidate must work closely with stakeholders and build reports/dashboards.
  • AI (Preferred): Ideally has hands-on experience building something with LLMs.
  • Data Engineering (Nice to Have): Basic understanding is sufficient; this is the most flexible requirement.

Requirements -

  • 5-8+ years of experience in data analytics, business intelligence, or data engineering within Epic healthcare, managed care, data environment
  • Proven experience designing and developing analytic-ready datasets and enterprise DataMarts supporting reporting and operational analytics
  • Hands-on experience working with data lake or modern data platforms such as Databricks, Azure Data Lake, or Snowflake
  • Strong experience developing and optimizing SQL-based data transformations across large, complex datasets
  • Demonstrated experience building dashboards and data visualizations using Tableau and/or Microsoft Power BI
  • Experience using Python for data processing, automation, and analytics workflows
  • Experience building and maintaining ETL/ELT pipelines, including data ingestion, transformation, and validation
  • Exposure to AI/ML or LLM-based use cases, including data summarization, classification, or insight generation
  • Experience working with healthcare data domains such as claims, enrollment, provider data, or electronic health records (Epic Clarity preferred)
  • Experience supporting regulatory or audit-driven reporting (e.g., CMS, HEDIS, Medicare Advantage

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