Senior Data Quality Engineer - Healthcare Modernization

Overture Partners; Quincy (MA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical benefits

401(k) starting day one

Disability insurance

Job summary

Overture Partners is seeking a Senior Data Quality Developer to support enterprise healthcare data modernization in a large public-sector setting. You will design dependable data validation processes, enhance data governance practices, and deliver solutions for complex healthcare environments.

Collaborate with architecture, analytics, QA, and business stakeholders to resolve data issues and establish repeatable data quality standards. Strong communication needed to secure an interview.

Qualifications

• 3+ years of professional experience developing applications with Java.
• Strong SQL skills and experience with large-scale data sources.
• Hands-on experience with data quality tools, preferably Informatica Data Quality.
• Knowledge of data governance concepts, workflows, policies, and metadata.

Responsibilities

• Develop and maintain data quality rules, validations, controls, and monitoring processes.
• Configure data governance solutions including glossaries, dashboards, and metadata relationships.
• Translate stakeholder requirements into governance workflows within data platforms.
• Research and implement data mastering, data management, and integrity initiatives.
• Build web-based applications and tools using Java, JavaScript, and related tech.
• Design BI visualizations using Tableau or Cognos and analyze high-volume datasets.

Skills

Java

JavaScript

SQL

Informatica Data Quality

Data Governance

Data Warehouses

Data Quality Rules

Analytical Thinking

Communication

Job description

Overture Partners is seeking a Senior Data Quality Developer to support enterprise healthcare data modernization in a large public-sector setting. You will design dependable data validation processes, enhance data governance practices, and deliver solutions for complex healthcare environments.

Collaborate with architecture, analytics, QA, and business stakeholders to resolve data issues and establish repeatable data quality standards. Strong communication needed to secure an interview.