Data Quality Engineer

Anza Mortgage Insurance Corporation; Wilmington (NC); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Healthcare

401(k)

Career growth

Inclusive culture

PTO and wellness programs

Job summary

Anza Mortgage Insurance Corporation is seeking a Data Quality Engineer to safeguard data integrity across mortgage datasets. You will build and automate data quality checks in Databricks, validate ETL/ELT pipelines, and resolve data issues that affect risk reporting, while aligning with engineering practices.

We value hands-on data validation work, strong SQL/Python skills, and familiarity with cloud platforms.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related fields.
• Master’s degree in Computer Science, Engineering, Data Science, or related fields.

Responsibilities

• Build, maintain, and scale automated data quality checks natively within our Databricks environment.
• Implement robust testing and validation gates within our ETL/ELT pipelines to support analytics and modeling workflows.
• Investigate, diagnose, and resolve data discrepancies or pipeline failures impacting mortgage credit risk reporting.
• Enforce data governance standards and follow engineering practices of the Technology team.
• Deepen your understanding of the mortgage and housing finance markets.

Skills

Python

SQL

Spark

Databricks

Data quality

Cloud platforms

ETL/ELT

Education

Bachelor's degree in CS/Engineering/Data Science

Master's degree in CS/Engineering/Data Science

Tools

dbt tests

Great Expectations

Soda

Deequ

Monte Carlo

Job description

Anza is building a mortgage insurance company from first principles. Most mortgage insurers operate on decades-old technology, manual workflows, organizational structures, and operating assumptions that have evolved incrementally over time. We believe there is a fundamentally better way.

Our vision is to build the industry's most technology-enabled mortgage insurer, one where software, automation, AI, analytics, and thoughtful operating design create better experiences for customers while allowing the business to scale efficiently without simply adding people.

We are not interested in making legacy processes slightly better. We are interested in building the operating model that mortgage insurance should have had all along.

About the role

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

What you'll do

Data Validation & Monitoring

• Build, maintain, and scale automated data quality checks natively within our Databricks environment.
• Implement robust testing and validation gates within our ETL/ELT pipelines to support analytics and modeling workflows.

Anomaly Detection

• Investigate, diagnose, and resolve data discrepancies or pipeline failures impacting mortgage credit risk reporting.
• Facilitate the Data Science & Engineering team’s goals by enforcing data governance standards and following engineering practices of the Technology team.
• Improve engineering skills and deepen your understanding of the mortgage and housing finance markets.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related fields.

Preferred Education

• Master’s degree in Computer Science, Engineering, Data Science, or related fields.
• 3 to 4 Years

Preferred Experience

• 5+ Years
• Proficiency in Python and SQL, with a strong emphasis on writing optimized queries. Solid understanding of data quality dimensions, cloud platforms (e.g. AWS, Azure), and core data modeling concepts. Must have hands-on experience implementing data validation using standard test frameworks and Spark testing techniques.

Preferred Skills

• Deep proficiency in Apache Spark and the Databricks ecosystem. Experience with additional data validation frameworks (e.g., dbt tests, Great Expectations, Soda, Deequ, Monte Carlo), software engineering, and CI/CD practices. Experience with data analysis in a business setting.

Preferred Certification(s)

• Databricks Certified Data Engineer Professional or Associate
• Databricks Certified Data Engineer Professional or Associate

What we offer

We’re committed to creating an environment where our team members can thrive both professionally and personally. We currently offer:

• Competitive Compensation – Including salary and performance bonuses.
• ComprehensiveBenefits – Health, dental, vision, and mental wellness support.
• Retirement Savings – 401(k) with company matching.
• Career advancement opportunities with business growth.
• Inclusive Culture – A diverse, collaborative, and supportive workplace where every voice is valued.
• Perks & Extras – Generous PTO, team events, wellness programs, and more.