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Data quality engineer Jobs in St Louis, MO
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Data quality engineer • st louis mo
Data Quality Analyst
VirtualVocationsSaint Louis, Missouri, United StatesQuality Engineer
Markent PersonnelSaint Louis, MOAI Quality Engineer
Cynet SystemsSaint Louis, MOData Engineer
1904labsSt. Louis, MO, United StatesTraveling Quality Assurance - Quality Control Manager - MSG - Data Centers
Turner ConstructionSt Louis, MO, United StatesBioTech Data Engineer
Stellar IT Solutions LLCSt. Louis, Missouri, USASenior Quality Engineer
STERISSt. Louis, MO, USQuality Engineer
Joseph Michaels InternationalSaint Louis, MOAutomation Quality Engineer
MedicaSt Louis, MO, USQuality Engineer
7SolutionsUSASaint Louis, MOSr Quality Engineer
Katalyst HealthCares & Life SciencesSt Louis, MOProject Quality Engineer
Nooter / EriksenSt. Louis, MO, USASr. Data Engineer
Oakwood Systems GroupSt. Louis, Missouri, United StatesQuality Control Engineer
Concrete StrategiesOverland, MO, United StatesSystem Engineer- Enterprise Data Engineer
EsriSt. Louis, Missouri, USAData Engineer
Turnberry LabsSaint Louis, MO, USQuality Automation Engineer
Visionaire PartnersSt. Louis, Missouri- dermatology (from $ 38,474 to $ 349,350 year)
- hospitalist (from $ 37,500 to $ 275,000 year)
- physician recruiter (from $ 80,000 to $ 260,400 year)
- associate dentist (from $ 191,250 to $ 250,000 year)
- physician (from $ 50,000 to $ 245,000 year)
- forensic pathologist (from $ 95,499 to $ 235,747 year)
- crna (from $ 53,604 to $ 228,000 year)
- owner operator (from $ 78,000 to $ 227,242 year)
- dentist (from $ 50,000 to $ 225,000 year)
- general dentist (from $ 30,000 to $ 225,000 year)
The average salary range is between $ 102,652 and $ 161,200 year , with the average salary hovering around $ 122,486 year .
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Data Quality Analyst
VirtualVocationsSaint Louis, Missouri, United States- Full-time
A company is looking for a Data Quality Analyst (Translational Research).
Key Responsibilities
Review scientific data submissions for completeness, accuracy, and adherence to defined standards
Evaluate the consistency and scientific relevance of data and flag potential issues for review
Support the translation of data workflows into transparent, structured processes that can be adapted for automation and AI-assisted review
Required Qualifications
Bachelor's degree in a relevant scientific or data-related discipline (e.g., biomedical sciences, bioinformatics, epidemiology)
Familiarity with pre-clinical research methods and experimental design
Strong attention to detail with the capacity to identify inconsistencies or gaps in structured scientific data
Ability to follow established data quality workflows and contribute to process documentation
Collaborative mindset, with the willingness to seek guidance and work effectively in a cross-disciplinary team