Security Engineer

Job Summary

We are seeking a Principal-level Epic Cogito Analytics Consultant to support its Epic-centered data architecture, enterprise reporting, and healthcare intelligence initiatives. The consultant will work with operational, clinical, finance, and IT stakeholders to deliver production-ready analytics, mentor internal analysts, resolve complex data/reporting issues, and contribute to scalable future-state data infrastructure.

Location: San Francisco, CA, United States

Work Schedule: 9:00 AM - 5:00 PM PST

Work Arrangement: Remote with onsite presence 35 days per month

Reports To: Data Analyst Supervisor

Key Responsibilities

• Assess current Epic data architecture, reporting pipelines, and analytics workflows and identify gaps and optimization opportunities.
• Design and implement scalable data models and BI architecture supporting enterprise reporting and population health.
• Perform root-cause analysis for data quality issues, reporting discrepancies, and pipeline failures.
• Translate clinical, operational, and executive requirements into technical analytics solutions.
• Contribute to the future healthcare intelligence platform, including Microsoft Fabric or equivalent modern data-stack architecture.
• Conduct stakeholder interviews, workshops, and discovery sessions.
• Manage analytics requests through Jira, including requirements gathering, estimation, tracking, and delivery.
• Develop production-ready reports and dashboards using Epic Chronicle, Clarity, and Caboodle.
• Work with Power BI, SSRS, Reporting Workbench, and SlicerDicer.
• Support non-Epic data integration through Microsoft Fabric and REST APIs.
• Maintain report specifications, data lineage, data dictionaries, and technical documentation.
• Provide knowledge transfer and mentorship to internal analysts.
• Recommend automation and process improvements to reduce manual reporting efforts.

Requirements

• 710 years of progressive hands-on healthcare data analytics experience.
• Experience owning enterprise BI or data-platform initiatives.
• Strong analytical problem-solving and root-cause analysis skills.
• Experience translating business requirements into validated analytics deliverables.
• Experience designing or contributing to healthcare data warehouse/lakehouse architecture.
• Knowledge of healthcare domains including:
  • FQHC operations
  • Revenue cycle
  • Population health
  • Value-based care
  • UDS
  • HEDIS
  • MIPS
  • CMS
• Strong communication skills with both technical and executive stakeholders.
• Ability to independently manage multiple concurrent requests.

Technical Requirements

• Expert SQL, including complex queries, stored procedures, and data transformations.
• Strong hands-on experience with Power BI and SSRS.
• Direct experience with Epic Chronicle, Clarity, and Caboodle.
• Familiarity with Microsoft Fabric and REST API-based data integration.
• Experience working in Agile environments with Jira, sprint planning, and iterative delivery.

Preferred Epic Certifications

• Epic Cogito Fundamentals
• Caboodle Data Model
• Clarity Data Model
• Revenue Data Model
• Clinical Data Model

Preferred Qualifications

• Additional Epic certifications such as Healthy Planet, Compass Rose Analytics, or Caboodle Development.
• Experience in an FQHC, community health, or multisite ambulatory environment.
• Experience with Microsoft Fabric, Databricks, Snowflake, or similar platforms.
• Healthcare data governance and data dictionary experience.
• Exposure to AI/ML-assisted healthcare analytics.
• Knowledge of value-based care, population health, and clinical quality measures.
• Experience mentoring junior analysts.
• Experience supporting Epic analytics in a live post-go-live environment.
• Knowledge of HIPAA, healthcare data privacy, security, and enterprise architecture.
• Second-language proficiency in Cantonese, Mandarin, Vietnamese, or Spanish is an asset.

Engagement Expectations

• Full-time, 40 hours/week.
• Business hours: 9:00 AM - 5:00 PM PST.
• Onsite presence 35 days per month at Client.
• Work within DataOps SOPs, including version control, peer review, and documentation.
• Participate regularly in knowledge-transfer sessions.
• Meet sprint commitments and proactively communicate risks.
• All work must comply with HIPAA, and healthcare data governance requirements.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.