Data Quality Engineer (Remote)

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Written by AI from the job title and company, not by Patterson Dental, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Data Quality Engineer at Patterson Dental will play a pivotal role in ensuring the integrity, accuracy, and reliability of our data assets. The ideal candidate will be responsible for developing and implementing data quality frameworks, conducting audits, and executing data quality assessments. This position will work collaboratively with cross-functional teams to identify data quality issues and align them with the strategic goals of the organization. This remote position offers an opportunity to contribute significantly to enhancing our data governance processes and driving data-driven decision-making.

Job Responsibilities

• Design and implement data quality frameworks and processes to monitor data integrity.
• Conduct regular data quality assessments and audits to identify discrepancies and areas for improvement.
• Collaborate with IT, Data Engineering, and Business Intelligence teams to resolve data quality issues.
• Develop, maintain, and monitor key performance indicators (KPIs) related to data quality.
• Communicate findings and recommendations to stakeholders and provide training as needed.
• Document data quality processes and improvements to ensure data governance compliance.
• Utilize automated testing tools and methodologies to enhance data quality monitoring.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data quality, data analysis, or a related role.
• Proficient in SQL and experience with databases such as MySQL, PostgreSQL, or Oracle.
• Familiarity with data quality tools and methodologies.
• Strong analytical skills and attention to detail with a problem-solving mindset.
• Excellent communication skills and the ability to interact with technical and non-technical staff.
• Experience with data visualization tools such as Tableau or Power BI is preferred.

Technologies & Tools

The Data Quality Engineer will utilize various technologies and tools, including SQL for database management, Python or R for data analysis and automation, as well as data quality and visualization tools such as Talend, Tableau, or Microsoft Power BI. Familiarity with cloud platforms, especially AWS or Azure, will also be beneficial as data solutions continue to transition to the cloud.

Ideal Candidates

Ideal candidates for this position are analytical thinkers with a strong attention to detail and a passion for ensuring data integrity. They should possess effective communication skills, demonstrating the ability to convey complex data issues to diverse audiences. Adaptability in a fast-paced environment and a proactive approach to problem-solving will also set exceptional candidates apart. A commitment to continuous improvement and a collaborative spirit is essential for contributing to the overall success of our data governance initiatives.