Analytics Engineer

Can be remote, but if person lives near by LA and can commute to our LAX office, we require them to come once a month for a monthly team meeting. Job Description: 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 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) Interested candidate please share your resume at View email address on click.appcast.io #J-18808-Ljbffr