Data QA Engineer

About This Job

Job Description

• Perform quality assurance and quality control duties for the Enterprise Data Management and data development life cycle
• Define, prepare, execute and implement data validation and unit and integration testing methods to ensure data quality
• Contribute to the overall test strategy and quality of the data in the Databricks Lakehouse (Enterprise Data Warehouse) and develop automated/manual test procedures
• Document bugs for developer review as well as provide supporting test results to assess the overall quality for the data product deliverable
• Work with end users, business analysts, project managers, IT, database and Tableau developers, and data architects to understand user requirements, project milestones and scope for data integration and data fulfillment initiatives to develop comprehensive test plans
• Validate technical specifications against finished data products
• Design and develop test strategies that will optimize data testing cycles and provide faster throughput without compromising on data quality
• Perform integration testing, regression testing, source to target testing and support periodic quantitative and qualitative data audits on post production data sets across Bronze, Silver, and Gold Delta Lake layers
• Define system performance standards, establish key and ancillary performance measurements, and help to ensure platform scalability
• Serve as gatekeeper for data deployments between environments and assist in automating deployments where applicable
• Validate data pipelines built with PySpark/Spark SQL and Databricks Workflows/Jobs, including notebook-based ETL/ELT processes, ensuring data accuracy across Bronze, Silver, and Gold Delta Lake layers
• Support validation of Unity Catalog access controls, data lineage, and governance policies to ensure secure, well-governed data access across the Databricks platform
• Lead specific aspects of Data Governance and Data Quality to establish data quality rules and develop data validation tests
• Leverage AI/LLM-powered tools (e.g., Claude, Copilot) to accelerate test case generation, synthetic test data creation, and code/query review, while validating AI-assisted outputs for accuracy before use in production test cycles
• Utilize Agile methodologies; participate in daily scrums, testing, code reviews, build release and other weekly meetings
• Join stakeholder meetings to communicate status, give demos, provide timelines and offer insights

Required Key Knowledge Skills/ Experience

• 2+ years' experience in QA testing, preferably in a data engineering or data warehousing environment
• Data testing in SQL, PySpark/Spark SQL, and Python framework, with hands-on experience testing Databricks notebooks, Delta Lake tables, and Databricks Workflows/Jobs
• Excellent verbal and written communication skills, including ability to simplify complex concepts for technical and non-technical audience
• Superior problem-solving skills, self-motivation, and the capacity to work under pressure and on tight deadlines
• Demonstrated ability to learn, acquire and utilize new technologies, disciplines, and frameworks as needed
• Ability to build and test reliable data ETL/ELT pipelines, including Spark-based pipelines, query optimization, and dynamic SQL
• Familiarity with the medallion architecture (Bronze/Silver/Gold) and Delta Lake table validation techniques, such as schema enforcement, time travel, and ACID transactions
• Strong customer focus, excellent problem solving and analytical skills
• Ability to work independently under minimal supervision and strong track record of setting and meeting delivery commitments
• Familiarity with Agile/Scrum methodologies or working in an Agile/Scrum environment
• Databricks certification (e.g., Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional) is a nice to have

Preferred Experience

• Hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog, Databricks Workflows/Jobs) or other Big Data/Spark platforms
• Experience with CI/CD and version control for Databricks (Databricks Asset Bundles, Repos, Git-based deployment pipelines)
• Banking industry experience

Education requirements

• Bachelor's Degree in Computer Science, Information Systems, Computer Engineering or related field

About Axos

Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We’re a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable value to our customers.

Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol "AX" (NYSE: AX).

Learn More about working at Axos Business Center

Pre-Employment Background Check, Medical, and Drug Test:

All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment medical and drug screening.

Equal Employment Opportunity:

Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws.

Job Functions and Work Environment:

While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc.

The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.