Data Integration Analyst, AI – Risk Adjustment

Reveleer

. Serve as the technical point of contact for receiving customer health-plan data in varied formats, including member, provider, clinic location, chart-retrieval detail, and claims data .

Posted 9/18/2026full-timeRemote • United StatesMid-LevelSenior💰 $105,000 - $135,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL Server and T-SQL for data transformation and ingestion, with a strong focus on data quality and validation. Capable of developing algorithms and data structures that enhance healthcare data accessibility and support AI tools.

Highest-signal resume keywords

SQL Server / T-SQLETL WorkflowsData Quality ValidationAlgorithm DevelopmentHealthcare Data Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationData MappingData CleaningAlgorithm TestingData ModelingData ValidationData StructuringSQL CodingCondition Suspecting

Soft Skills

Attention to DetailClear CommunicationSelf-StarterOwnershipCollaboration

Tools & Technologies

SSISPythonAI/ML ToolsData WarehouseSemantic Data Structures

Industry Keywords

HealthcareHealth InsuranceRisk AdjustmentHCCsValue-Based Care

Tech Stack

Tools & technologies

ETLPythonSQLSSIS

About the role

Key responsibilities & impact

Serve as the technical point of contact for receiving customer health-plan data in varied formats, including member, provider, clinic location, chart-retrieval detail, and claims data
Ingest source data as-is into the SQL Server data warehouse while preserving raw data for traceability
Build scalable, repeatable ingestion routines for varied data structures and file types
Write and maintain SQL to transform raw source data into accurate, platform-ready outputs, including medical record retrieval load files
Monitor pipelines for errors, anomalies, and data quality issues and remediate them before downstream impact
Build and maintain data foundations supporting retrospective risk adjustment coding workflows
Develop, test, and refine condition-suspecting algorithms for likely undocumented or under-documented diagnoses
Partner with coding, clinical, and analytics teams to translate domain logic into production-grade data products
Design and build semantic data structures that improve healthcare data accessibility for AI tools
Refactor and clean a library of semantic analytics tables, migrate it into production, and establish automated scheduled refreshes
Establish standards for promoting code from development to production and creating structured, reusable datasets
Document data models, transformation logic, algorithms, and source-specific rules
Partner with Data Management, analytics, and platform teams on production systems and handoffs
Work with the VP of Data Strategy and cross-functional partners to improve raw-data-to-AI-ready-asset processes
Report to the VP of Data Strategy

Requirements

What you’ll need

Bachelor's degree in a quantitative, scientific, technical, or related field, or equivalent hands-on experience
Proven, hands-on coding ability and demonstrable experience working with database technology
Experience with SQL Server / T-SQL or a comparable relational database
Ability to design creative, original solutions to parse, structure, and make sense of complex, messy, or unfamiliar data
Comfort designing, testing, and refining algorithms or analytical logic against real-world data
Experience cleaning, mapping, and validating real-world data from multiple sources and file formats into a required structure
Experience building repeatable, maintainable ETL or data-ingestion workflows
Strong attention to detail and a structured, methodical approach to data quality and validation
Clear written and verbal communication skills, including the ability to work directly with customers and internal teams
Self-starter who takes ownership end-to-end and thrives with autonomy
Healthcare or health insurance experience is preferred but not required
Graduate study or research experience in a quantitative or scientific discipline is preferred
Familiarity with SSIS or comparable ETL tooling is preferred
Exposure to Python for data manipulation and automation is preferred
Understanding of risk adjustment, HCCs, condition suspecting, medical record retrieval, or value-based care operations is preferred
Exposure to preparing, structuring, or engineering data for AI/ML tools and workflows is preferred
Experience supporting customer onboarding or client data implementations is preferred
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Benefits

Comp & perks

Competitive salary
Medical, Dental and Vision benefits
401k match
Generous PTO plan