Data Quality Engineer

Anza Mortgage Insurance Corporation • McLean, VA

39d

About The Position

As a Data Quality Engineer embedded in Anza MI’s Data Science & Engineering practice, you will be the primary guardian of data integrity for mortgage-related datasets. The team uses a cloud-native technology stack and Databricks for data pipelines to analyze data and automate operational processes. You will design, automate, and monitor data validation frameworks that support predictive models and analytics workflows, following engineering best practices established by the wider Technology organization. You will work autonomously and in partnership with senior team members and business partners to ensure trust in data assets.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
• 3 to 4 years of experience.
• Proficiency in Python and SQL, with a strong emphasis on writing optimized queries.
• Solid understanding of data quality dimensions, cloud platforms such as AWS or Azure, and core data modeling concepts.
• Hands-on experience implementing data validation using standard test frameworks and Spark testing techniques.

Nice To Haves

• Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 5+ years of experience.
• Deep proficiency in Apache Spark and the Databricks ecosystem.
• Experience with additional data validation frameworks such as dbt tests, Great Expectations, Soda, Deequ, or Monte Carlo; software engineering; and CI/CD practices.
• Experience with data analysis in a business setting.
• Databricks Certified Data Engineer Professional or Associate certification.

Responsibilities

• Build, maintain, and scale automated data quality checks natively within the Databricks environment.
• Implement robust testing and validation gates within ETL/ELT pipelines to support analytics and modeling workflows.
• Investigate, diagnose, and resolve data discrepancies or pipeline failures impacting mortgage credit risk reporting.
• Support the Data Science & Engineering team’s goals by enforcing data governance standards and following Technology team engineering practices.
• Improve engineering skills and deepen understanding of the mortgage and housing finance markets.

Benefits

• Competitive compensation, including salary and performance bonuses.
• Health, dental, vision, and mental wellness support.
• 401(k) with company matching.
• Career advancement opportunities with business growth.
• Inclusive, diverse, collaborative, and supportive workplace.
• Generous PTO.
• Team events.
• Wellness programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level