Data Quality Engineer (Contract)
About The Position
Northbridge Financial is looking for an experienced Data Quality Engineer with 7+ years of hands-on experience in Data Quality, Data Warehouse testing, and ETL validation. The ideal candidate will possess strong technical expertise, lead a team of data quality engineers, and collaborate with cross-functional stakeholders to ensure the accuracy, completeness, and reliability of enterprise data platforms. The role requires a deep understanding of modern data ecosystems, data quality automation, and the ability to work in Agile environments while supporting business-critical reporting and analytics initiatives. This role is a contract position.
Requirements
- Bachelor’s degree, Diploma or Certificate in Computer Science, other related field, or equivalent combination of education and experience.
- 7+ years of hands-on experience in Data Quality Engineering, ETL/Data Warehouse testing, or related data engineering roles.
- Proven experience leading or mentoring a team of Data Quality or QA professionals.
- Strong experience working in Agile software development environments.
Responsibilities
- Leading and mentoring a team of Data Quality Engineers, providing technical guidance, code reviews, and best practices.
- Define and implement enterprise-wide data quality strategies for Data Warehouse and cloud data platforms.
- Analyze business requirements and translate them into comprehensive data validation scenarios and test strategies.
- Validate end-to-end ETL/ELT data pipelines to ensure data accuracy, integrity, and completeness.
- Design, develop, and maintain automated data quality and regression testing frameworks.
- Perform source-to-target validation, reconciliation, transformation testing, and data profiling.
- Collaborate closely with Business Analysts, Data Engineers, Product Owners, and business stakeholders to clarify requirements and resolve data quality issues.
- Coordinate with internal engineering teams to ensure timely delivery of high-quality data solutions.
- Identify root causes of data issues and work with development teams to drive permanent resolutions.
- Participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, reviews, and retrospectives.
- Establish data quality metrics, dashboards, and governance practices to continuously monitor data health.
- Support release validation, production deployments, and post-release data verification.
Benefits
- Flexible hybrid model that allows you to work from home up to 2 days per week, with added flexibility for when you really need it.
- Flexible health benefits
- Early leave days
- Wellness programs
- Rewards and recognition programs
- Education assistance
- Internal mobility
- Mentoring programs
- Donation matching
- Team volunteer days
- Robust Total Rewards program that includes benefits, wellness support, and other meaningful perks.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
