Data Quality Engineer

Job not on LinkedIn

🔥 1 minute ago

🦞 Maine – Remote

🦞 Maine – Remote

💵 $100k - $123.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Martin's Point Health Care

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🛡️ Insurance

📦 Logistics

💼 Consulting

Insurance • Logistics • Consulting

Martin's Point Health Care is a healthcare organization committed to serving its local communities through high-quality primary and specialty care services. The organization places a strong emphasis on creating a positive workplace culture, recognizing employee contributions, and fostering workforce diversity. Martin's Point Health Care offers a range of career opportunities across various departments, from healthcare providers to corporate roles, and supports employee growth through competitive compensation, development programs, and generous perks. Additionally, the company is recognized for its community impact efforts, raising significant funds for community organizations and encouraging employee volunteerism.

📋 Description

• Ensure the accuracy and integrity of data by validating inputs, outputs, and transformations across systems • Develop test plans and test cases for data processes • Execute functional, regression, and integration testing for data workflows, reporting solutions, and system enhancements • Identify data anomalies, defects, and inconsistencies and collaborate with technical and business teams on resolution • Design and execute SQL-based validation queries for data quality and root-cause analysis • Validate Power BI dashboards and reports for accuracy, consistency, and alignment with business definitions and data standards • Apply healthcare delivery system or health plan knowledge to data and reporting outputs • Recommend and implement automated enhancements to testing processes, data quality controls, and documentation practices • Provide quality insights to cross-functional teams to inform decision-making • Maintain documentation of testing outcomes, data validation results, and quality findings for transparency and audit readiness

🎯 Requirements

• Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Public Health, or a related field • 4+ years of experience in Quality Engineering, Data Quality, Software Testing, or a related role • Experience validating data using SQL, including writing complex queries • Experience working with healthcare delivery systems or health plan data, including claims, encounters, eligibility, provider, or clinical data • Experience validating reports or dashboards in Power BI • Understanding of data validation methodologies, testing principles, and QA best practices • Knowledge of healthcare operational workflows, health plan processes, or clinical data environments • Familiarity with ETL processes, data pipelines, and relational database concepts • Awareness of data governance, data integrity standards, and regulatory considerations such as HIPAA • Proficiency in SQL for data validation, profiling, and troubleshooting • Ability to create structured test plans, test cases, and test documentation • Skill in validating Power BI dashboards, datasets, and calculations • Strong analytical and problem-solving skills with high attention to detail • Effective communication skills for translating technical findings to non-technical stakeholders • Ability to identify data anomalies, investigate root causes, and recommend corrective actions • Ability to work collaboratively across technical, analytical, and business teams • Ability to manage multiple priorities and deliver high-quality work with minimal/moderate supervision • Ability to apply healthcare domain knowledge to ensure data accuracy and operational relevance • Ability to adapt to evolving systems, tools, and organizational needs • Must verify U.S. citizenship • Must complete required employment eligibility verification upon hire • Position is not eligible for immigration sponsorship

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Retirement savings with employer contributions • Paid time off • Volunteer time off • Pie day • Other employee benefits • Incentive or commission-based programs, where applicable and subject to the terms of the applicable plan

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