EPIC Clarity BI Engineer (100% REMOTE/NO C2C)

Our client, a Medical Center facility under the aegis of a California Public Ivy university and one of largest health delivery systems in California, seeks an accomplished EPIC Clarity BI Engineer, This Analytics Engineer role operates at the intersection of data engineering, business intelligence, and applied AI, ensuring data solutions are accurate, governed, scalable, and aligned with organizational strategy.

• Data Architecture & DataMart Development
• 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

Data Pipeline & Data Lake Enablement

• 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
• Business Intelligence & Visualization
• 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

AI & Advanced Analytics Enablement

• 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

• 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)

Amerit Consulting is an extremely fast-growing staffing and consulting firm. Amerit Consulting was founded in 2002 to provide consulting, temporary staffing, direct hire, and payrolling services to Fortune 500 companies nationally, as well as small to mid-sized organizations on a local & regional level. Currently, Amerit has over 2,000 employees in 47 states. We develop and implement solutions that help our clients operate more efficiently, deliver greater customer satisfaction, and see a positive impact on their bottom line. We create value by bringing together the right people to achieve results. Our clients and employees say they choose to work with Amerit because of how we work with them - with service that exceeds their expectations and a personal commitment to their success. Our deep expertise in human capital management has fueled our expansion into direct hire placements, temporary staffing, contract placements, and additional staffing and consulting services that propel our clients businesses forward. Amerit Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Applicants, with criminal histories, are considered in a manner that is consistent with local, state and federal laws