Data Quality Engineer

Hybrid Schedule (3 days onsite)
$80K-$100K
Are you passionate about transforming raw data into trustworthy assets that empower business decisions? We’re seeking a dedicated Data Quality Engineer to lead the charge in ensuring the integrity, accuracy, and usability of enterprise data across diverse systems. If you thrive on problem-solving, establishing data governance standards, and driving continuous improvement, this is your opportunity to make a significant impact in a dynamic environment.

Data Quality Engineer - Macedonia, OH
Hybrid Schedule (3 days onsite)
$80K-$100K
Are you passionate about transforming raw data into trustworthy assets that empower business decisions? We’re seeking a dedicated Data Quality Engineer to lead the charge in ensuring the integrity, accuracy, and usability of enterprise data across diverse systems. If you thrive on problem-solving, establishing data governance standards, and driving continuous improvement, this is your opportunity to make a significant impact in a dynamic environment.

As a Data Quality Engineer, you will own the implementation and ongoing refinement of data quality initiatives for critical business domains. Your expertise will help ensure our data remains accurate, consistent, and compliant, supporting enterprise systems including ERP, CRM, analytics platforms, and customer-facing applications. You will collaborate with cross-functional teams to establish accountability, define data standards, and develop proactive monitoring strategies to reduce operational inefficiencies and improve data trustworthiness.

• Bachelor’s Degree in Information Technology, Computer Science, Data Analytics, or related field
• 3-5 years of experience in data quality, data engineering, data governance, or analytics
• Proficiency in SQL for data validation and analysis
• Experience with data pipelines and transformation tools, preferably Azure Data Factory
• Strong analytical and troubleshooting skills to diagnose cross-system data issues
• Excellent communication skills for effective stakeholder engagement
• Knowledge of relational data modeling, normalization, and schema design
• Ability to work independently within distributed teams

• Experience working in commercial, distribution, or manufacturing environments
• Familiarity with data governance and metadata tools such as Microsoft Purview, Collibra, Alation, or Informatica
• Knowledge of master data management concepts for Customer and Product domains
• Experience with data quality frameworks aligned with DAMA-DMBOK or ISO-8000 standards
• Exposure to CRM platforms like Salesforce or Hub Spot, and ERP systems such as Epicor
• Supporting analytics platforms like Power BI

• Ability to support data classification standards aligned with GDPR, CCPA, and other regulatory frameworks
• Familiarity with data lineage and classification tools such as Microsoft Purview
• Willingness to operate independently and proactively in a fast-paced, remote, or distributed environment

Harness your expertise and play a key role in elevating data quality standards across the organization. If you are motivated by the challenge of ensuring data integrity at scale, apply now and seize this exciting opportunity to advance your career!