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Data Quality Engineer
Martin's Point Health Care. Ensure the accuracy and integrity of data by validating inputs, outputs, and transformations across systems .
Posted 11/10/2026full-timeRemote • Maine • United StatesMid-LevelSenior💰 $99,963 - $123,484 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in SQL for data validation and profiling, along with a strong understanding of healthcare delivery systems and data quality methodologies. Capable of executing comprehensive testing processes and collaborating effectively with cross-functional teams to ensure data integrity and operational relevance.
Highest-signal resume keywords
SQL Data ValidationPower BI Dashboard ValidationQuality Engineering ExperienceHealthcare Data KnowledgeData Validation Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData QualitySoftware TestingTest PlansTest CasesData ValidationETL ProcessesData GovernanceData Integrity StandardsAnalytical Skills
Soft Skills
Effective CommunicationProblem-SolvingAttention to DetailCollaborationAdaptability
Tools & Technologies
Power BIData PipelinesRelational Databases
Industry Keywords
Healthcare Delivery SystemsHealth Plan DataHIPAA ComplianceClaims DataClinical Data
Tech Stack
Tools & technologiesETLSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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