Senior Data Quality Architect – Remote (Healthcare Maps)

Komodohealth; New York (NY); Hybrid; USD 153,000 - 179,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Flexible time off

401(k) with company match

Disability insurance

Life insurance

Job summary

Komodo Health is seeking a Data Quality Analyst to own the quality of our Healthcare Map data products. You will triage data issues, design QA processes, and partner with Engineering and customer-facing teams to resolve anomalies in complex healthcare datasets.

You will build scalable checks, monitor data pipelines, and implement workflows that ensure completeness and accuracy across sources. Familiarity with SQL, Python, and GitHub is essential.

Qualifications

• Fluent with healthcare data, specifically medical and pharmacy claims.
• Experience designing and building data quality frameworks independently.
• Experience writing SQL queries and Python.
• Ability to work independently and in a fast-paced agile environment.
• Worked with testing data within a data warehouse, ODS or analytics DB.
• Comfortable with version control systems such as Git/GitHub.

Responsibilities

• Own data quality responsibilities for Komodo’s Data Products.
• Triage and resolve data anomalies within business and analytics contexts.
• Design, maintain, and implement data quality assurance processes and data issue workflows.
• Perform complex data analysis to assess completeness, correctness, and consistency of data products.
• Collaborate with Engineering and customer-facing teams to address data quality blockers.
• Develop new data quality frameworks and checks from scratch and evolve them over time.

Skills

Healthcare data

Data quality frameworks

SQL queries

Python scripting

Team collaboration

Git/GitHub

AI tools usage

Tools

GitHub

Job description

Komodo Health is seeking a Data Quality Analyst to own the quality of our Healthcare Map data products. You will triage data issues, design QA processes, and partner with Engineering and customer-facing teams to resolve anomalies in complex healthcare datasets.

You will build scalable checks, monitor data pipelines, and implement workflows that ensure completeness and accuracy across sources. Familiarity with SQL, Python, and GitHub is essential.