Data Integration Analyst, AI & Risk Adjustment

Data Integration Analyst, AI & Risk Adjustment

Remote Opportunity

About Reveleer

Reveleer delivers a unified platform spanning risk adjustment, quality improvement, clinical intelligence, and member management for health plans and provider organizations navigating the complexity of value-based care. Trusted by 80+ customer organizations nationwide, the platform integrates data, analytics, and intelligent workflow automation into one governed system designed to support traceable documentation across diagnoses, quality measures, and submissions. With regulatory expertise and transparent, human-in-the-loop AI at its core, Reveleer supports organizations working to advance care quality, strengthen documentation integrity, and sustain the operational readiness needed to navigate audits with confidence.

Why This Role Is Important

The healthcare ecosystem generates an enormous volume of raw data, and most of it is messy, inconsistent, and hard to use. Reveleer 's advantage comes from turning that raw material into structured, trustworthy datasets that our platform, our analytics, and our AI can actually leverage. This role sits at the center of that effort.

As a Data Integration Analyst on the AI & Data team, you will design and build the systems and data pipelines that move raw healthcare data into structured, reusable form. You will have ownership of ensuring that customer are able to effectively connect their data systems with the Reveleer ecosystem. Your work will span several connected domains: ingesting and transforming customer data for medical record retrieval; building the data foundations for retrospective risk adjustment coding; developing condition-suspecting algorithms that surface likely undocumented diagnoses; and semantically structuring underlying data so it is far more accessible to AI tools. In short, you turn the raw data of the healthcare ecosystem into the structured assets that everything downstream depends on. You will report to the VP of Data Strategy.

This is a high-autonomy role with a high ceiling. If you are smart, curious, self-motivated, and driven, you will have significant freedom to decide how the work gets done, and a correspondingly large opportunity for impact, growth, and advancement. We are building a team of exceptional people and strive to create an environment where high-performers can grow and excel.

What You'll Do

Data Ingestion & Integration

- Serve as the technical point of contact for receiving customer data (health plans) in whatever format they already use, member, provider, clinic location, chart-retrieval detail, claims, and other source data, rather than requiring them to conform to ours.

- Ingest source data as-is into our SQL Server data warehouse, preserving raw data for traceability, and build scalable, repeatable ingestion routines that handle varied and often messy structures and file types.

- Write and maintain SQL to transform raw source data into accurate, platform-ready outputs, including load files for the Reveleer medical record retrieval platform.

- Monitor pipelines for errors, anomalies, and data quality issues, and remediate them before they affect downstream work.

Retrospective Risk Adjustment & Condition Suspecting

- Build and maintain the data foundations that support retrospective risk adjustment coding workflows.

- Develop, test, and refine condition-suspecting algorithms that surface likely undocumented or under-documented diagnoses from the underlying data.

- Partner with coding, clinical, and analytics teams to translate domain logic into reliable, production-grade data products.

Semantic Structuring for AI

- Design and build semantic data structures that make our underlying healthcare data materially more accessible and useful to AI tools.

- As an early priority, take ownership of a significant library of semantic analytics tables currently maintained in our development environment: refactor and clean up the code, migrate it into