Senior Epic BI Engineer - Remote Cloud Cogito Migration

Prominence Advisors, Inc

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Health Care Plan
401k
Life Insurance
Paid Time Off
Work From Home
Training & Development Fund
Technology Stipends
Charitable Giving

Job summary

Prominence, a healthcare technology firm, is seeking a senior Epic BI Developer to lead a Cogito Cloud migration. You will implement and optimize Cogito, Caboodle, and Clarity in a cloud environment (Azure), validate data integrity, and design dashboards using Reporting Workbench, Radar, SlicerDicer, and RW SQL.

You will mentor customer teams, translate business requirements into cloud data architecture, track risks, and contribute to knowledge transfer.

Qualifications

  • Active Cogito Data Model and Cogito Tools certifications required.
  • 5+ years of BI development experience in healthcare or life sciences.
  • Strong SQL development skills and cloud data warehousing experience.
  • Experience migrating Epic Cogito/Caboodle/Clarity to a cloud platform (Azure preferred).

Responsibilities

  • Lead Cogito data model migration from on-premise to cloud (Azure).
  • Design and optimize reports and dashboards using Cogito reporting tools.
  • Mentor customer teams and drive knowledge transfer for the migrated environment.
  • Ensure data integrity, report parity, and performance benchmarks post-migration.
  • Collaborate across BI, infrastructure, and customer teams.

Skills

Cogito Data Model
Cogito Tools
BI development
SQL development
Cloud migration

Tools

Reporting Workbench
Radar
SlicerDicer
RW SQL

Job description

Prominence, a healthcare technology firm, is seeking a senior Epic BI Developer to lead a Cogito Cloud migration. You will implement and optimize Cogito, Caboodle, and Clarity in a cloud environment (Azure), validate data integrity, and design dashboards using Reporting Workbench, Radar, SlicerDicer, and RW SQL.

You will mentor customer teams, translate business requirements into cloud data architecture, track risks, and contribute to knowledge transfer.

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