{"id":1518254,"url":"https://alion.io/job/axosbank-data-qa-engineer","title":"Data QA Engineer","company":{"id":1988551,"name":"Axos Bank","domain":"axosbank.com","url":"https://alion.io/company/axosbank","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":35,"ghost_share":0,"stale_share":0.429,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-10-04T05:45:00Z"}},"role":"QA","role_family":"QA","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manila, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"CI/CD","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-04T23:47:47Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"Axos Business Center, CorpAbout This Job\nThe QA Automation Engineer is responsible for writing code to automatically test various areas of Axos core functionality, including Web UI, SQL databases, REST APIs, and Mobile devices.Job Description\nPerform quality assurance and quality control duties for the Enterprise Data Management and data development life cycle\nDefine, prepare, execute and implement data validation and unit and integration testing methods to ensure data quality\nContribute to the overall test strategy and quality of the data in the Databricks Lakehouse (Enterprise Data Warehouse) and develop automated/manual test procedures\nDocument bugs for developer review as well as provide supporting test results to assess the overall quality for the data product deliverable\nWork 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\nValidate technical specifications against finished data products\nDesign and develop test strategies that will optimize data testing cycles and provide faster throughput without compromising on data quality\nPerform 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\nDefine system performance standards, establish key and ancillary performance measurements, and help to ensure platform scalability\nServe as gatekeeper for data deployments between environments and assist in automating deployments where applicable\nValidate 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\nSupport validation of Unity Catalog access controls, data lineage, and governance policies to ensure secure, well-governed data access across the Databricks platform\nLead specific aspects of Data Governance and Data Quality to establish data quality rules and develop data validation tests\nLeverage 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\nUtilize Agile methodologies; participate in daily scrums, testing, code reviews, build release and other weekly meetings\nJoin stakeholder meetings to communicate status, give demos, provide timelines and offer insights\nRequired Key Knowledge Skills/ Experience\n2+ years' experience in QA testing, preferably in a data engineering or data warehousing environment\nData testing in SQL, PySpark/Spark SQL, and Python framework, with hands-on experience testing Databricks notebooks, Delta Lake tables, and Databricks Workflows/Jobs\nExcellent verbal and written communication skills, including ability to simplify complex concepts for technical and non-technical audience\nSuperior problem-solving skills, self-motivation, and the capacity to work under pressure and on tight deadlines\nDemonstrated ability to learn, acquire and utilize new technologies, disciplines, and frameworks as needed\nAbility to build and test reliable data ETL/ELT pipelines, including Spark-based pipelines, query optimization, and dynamic SQL\nFamiliarity with the medallion architecture (Bronze/Silver/Gold) and Delta Lake table validation techniques, such as schema enforcement, time travel, and ACID transactions\nStrong customer focus, excellent problem solving and analytical skills\nAbility to work independently under minimal supervision and strong track record of setting and meeting delivery commitments\nFamiliarity with Agile/Scrum methodologies or working in an Agile/Scrum environment\nDatabricks certification (e.g., Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional) is a nice to have\nPreferred Experience\nHands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog, Databricks Workflows/Jobs) or other Big Data/Spark platforms\nExperience with CI/CD and version control for Databricks (Databricks Asset Bundles, Repos, Git-based deployment pipelines)\nBanking industry experience \nEducation requirements\nBachelor's Degree in Computer Science, Information Systems, Computer Engineering or related field\nAbout Axos\nBorn 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.\nAxos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol \"AX\" (NYSE: AX).\nLearn More about working at Axos Business Center\nPre-Employment Background Check, Medical, and Drug Test:\nAll offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment medical and drug screening.\nEqual Employment Opportunity:\nAxos 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.\nJob Functions and Work Environment:\nWhile 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.\nThe 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.","description_format":"text","description_chars":6474,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Digital Banks & Neobanks"],"lifecycle":[{"event":"open","at":"2026-09-30T10:34:12Z"}],"visa":[],"liveness":{"score":82,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.914,"p_room":0.9,"age_days":20,"expected_fill_days":51,"reasons":["conf:0","urgency","velocity","win:mid","comp:junior,brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/axosbank-data-qa-engineer","json_url":"https://alion.io/job/axosbank-data-qa-engineer.json","meta":{"generated_at":"2026-10-05T01:17:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1682,"day_limit":5000,"remaining_today":3318,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}