Information Technology/BI Engineer

Summary:

• Work Mode: Remote
• Duration: 1 year contract

Responsibilities:

• Design and maintain analytic-ready datasets
• Lead development of enterprise DataMarts (e.g., ODAG, Timeliness, Risk Adjustment)
• Ensure alignment with standardized business definitions and CMS-driven logic
• Partner with Managed Care, Finance, and Operations to stabilize and operationalize requirements
• Build and optimize data pipelines leveraging Databricks and enterprise data platforms
• Integrate data from multiple sources including Epic Clarity, Tapestry, claims, and external vendors
• Support transformation, and validation of large-scale datasets (e.g., HEDIS, CMS files, lab data)
• Automate data workflows to reduce manual intervention and improve reliability
• Develop and maintain Tableau and Power BI dashboards aligned to DSS standards
• Enable self-service analytics by exposing curated datasets rather than one-off reports
• Leverage Python for data transformation, automation, and advanced analytics workflows
• Integrate LLM-based capabilities for summarization, classification, and insight generation (e.g., call center analytics, CRM insights)
• Partner in developing AI-driven data products that enhance operational decision-making
• Support transition toward automated data pipelines and AI-enriched datasets

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)