9 часов назад
Senior Data QA Engineer (Databricks)
115 000 - 125 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data QA Engineer (Databricks): Designing and executing validation, unit, integration, regression, source-to-target, performance, and security testing for enterprise data pipelines with an accent on SQL, Python, ETL/ELT, and Databricks quality assurance. Focus on automating regression checks, validating AI-assisted test outputs, auditing production data, and mentoring QA engineers while deputising for the Data QA Lead.
Location: United States employment eligibility verification applies through E-Verify at Axos facilities.
Salary: $115,000–$125,000 per year, plus potential discretionary cash and restricted stock unit bonuses.
Company
provides digital financial tools and services for individuals, small businesses, and companies.
What you will do
- Design and execute data validation, unit, integration, regression, source-to-target, performance, and security tests.
- Test SSIS, dbt, Fivetran, Python ingestion, and Databricks data pipelines.
- Review requirements and technical specifications, define acceptance criteria, and create test plans before development begins.
- Document defects in Azure DevOps and work with developers to drive them to closure.
- Contribute automated checks to regression suites and convert manual tests to automation.
- Mentor Intermediate and Junior engineers and deputise for the Data QA Lead during ceremonies and release sign-off.
Requirements
- 5+ years of QA testing experience, including 3+ years in data engineering or data warehousing.
- Strong SQL skills for data validation, reconciliation, and profiling, plus working Python skills for test scripting.
- Hands-on experience testing ETL/ELT pipelines and data warehouse loads.
- Experience with test design, risk-based coverage, estimation, and Azure DevOps or an equivalent tool.
- Familiarity with Agile/Scrum methodologies and strong written and verbal communication skills.
- Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or a related field.
Nice to have
- Experience with Databricks, PySpark, Delta Lake, Unity Catalog, and Databricks Workflows or Jobs.
- Knowledge of medallion architecture and Delta Lake validation techniques.
- Experience with data test automation frameworks, CI/CD, Tableau or other BI reporting layers.
- Banking or financial services industry experience.
Culture & Benefits
- Medical, dental, vision, and life insurance may be available.
- Paid sick leave, approximately three weeks of vacation, and about 11 holidays.
- HSA or FSA accounts and other voluntary benefits.
- 401(k) retirement savings plan with employer matching and a 529 savings plan.
- Employment is subject to credit, criminal background, and pre-employment drug screening.
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