You want your organization’s data to be accurate, reliable, and ready for decision-making. Hiring a Data Quality Engineer helps you ensure data integrity, support analytics and AI, and build trust in your business intelligence. BridgeView connects you with experienced Data Quality Engineers for hire so you can move forward with confidence and deliver results you can trust.
BridgeView has successfully placed 30 Data Quality Engineer across industries, leveraging our specialized recruiting strategies to match top-tier talent with the right opportunities
An impressive 87% of our contractors are extended beyond their initial contract term, a testament to our ability to connect clients with highly skilled and reliable professionals.
Over the past three years, 96.7% of our direct hire placements have remained in their roles beyond six months, proving our commitment to long-term hiring success.
Data Quality Engineers ensure your data meets the highest standards for accuracy, completeness, and usability. Key responsibilities include:
Here are key questions to help you evaluate technical, analytical, and collaboration skills in Data Quality Engineer candidates:
Need more help with your Data Quality Engineer selection process? Contact us here.
When hiring a Data Quality Engineer, organizations look for expertise across data validation, ETL, and data quality platforms. Common skills include:
SQL
Python
R
Informatica
Talend
Apache Nifi
SSIS
Great Expectations
dbt
Data profiling
Data cleansing
Data governance
Data observability
ETL/ELT pipelines
BridgeView’s recruiters specialize in data quality staffing and deliver fast, flexible hiring solutions.
If a Data Quality Engineer isn’t quite the right fit, or if you need to build an entire data team, we also support hiring for:
Let’s discuss how BridgeView can quickly connect you with the right talent for your project or full-time hire.