Data Engineer (Clinical Data & Risk Adjustment)

RAZOR; New York (NY); Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan with 4% employer match

Paid time off and holidays

Life insurance and disability insurance

Job summary

A data solutions provider is seeking a Data Engineer to design and build scalable data ingestion pipelines to normalize clinical data that supports quality reporting, risk adjustment, and regulatory programs. The ideal candidate should have at least 3 years of experience in data engineering, strong SQL and Python skills, and experience working with clinical data. This position is fully remote and offers competitive benefits including healthcare and a 401(k) plan.

Qualifications

• 3+ years in data engineering or ETL development.
• Strong SQL and Python skills required.
• Experience normalizing clinical data to standard vocabularies.
• Understanding of healthcare claims and clinical data.

Responsibilities

• Develop scalable ETL/ELT pipelines.
• Normalize and map clinical data to LOINC and SNOMED CT.
• Build data models for quality and risk adjustment reporting.
• Maintain data lineage and traceability.

Skills

Data engineering

ETL development

SQL

Python

Normalizing clinical data

Data warehouse experience

Cloud platform experience (AWS/Azure/GCP)

Education

Bachelor's degree in Computer Science, Data Engineering, Health Informatics, or related field

Tools

Snowflake

Databricks

Redshift

BigQuery

Airflow

dbt

Job description

Razor is looking for a Data Engineer with experience in clinical data who designs and builds scalable data ingestion pipelines to normalize clinical data supporting quality reporting, risk adjustment, and regulatory programs.

Education & Certification Requirements

• Bachelor's degree in Computer Science, Data Engineering, Health Informatics, or related field

Location

100% Remote

Responsibilities

• Develop scalable ETL/ELT pipelines
• Normalize and map clinical data to LOINC, SNOMED CT, RxNorm, CVX
• Build data models for quality and risk adjustment reporting
• Maintain data lineage, provenance, and traceability
• Implement automated validation and quality monitoring
• Work with actuarial, quality, compliance, and analytics teams
• Support CMS, HEDIS, and risk adjustment reporting
• Optimize pipeline performance in cloud/hybrid environments
• Document transformations, mappings, and governance controls

Qualifications

• 3+ years in data engineering or ETL development
• Strong SQL and Python
• Experience normalizing clinical data to standard vocabularies
• Experience with data warehouses/data marts
• Understanding of healthcare claims/clinical data
• Cloud platform experience (AWS/Azure/GCP)

Desired Skills

• FHIR/HL7 experience
• Familiarity with RAF/HCC, HEDIS, Stars
• Experience with Snowflake, Databricks, Redshift, BigQuery, Airflow, dbt
• Knowledge of CMS/HIPAA requirements
• Experience with data governance frameworks

EEO Statement

Razor Consulting Solutions is an equal opportunity employer and does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business need.

Benefits Overview

• Full time employees are eligible for healthcare benefits on the first of the month following their hire date.
• Razor offers medical, dental, and vision insurance and covers 70% of the employee's monthly premium.
• Razor also offers a 401(k) plan with a 4% employer match, starting immediately upon hire.
• Employees are eligible for paid time off, paid sick leave, and paid holidays.
• Razor provides employer‑paid life insurance and short‑term and long‑term disability insurance.