Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$120к-160к/год
$120к$140кмедиана$170к
По похожим ролям (48) ~ $140к/год
На СНГ рынке: $3.5к/мес ($2.5к - $4.1к)
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Задачи четко очерчены, в работе сочетаются востребованное тестирование данных и современная платформа, а условия включают конкретные льготы; главный нюанс - обязательные поездки в офис.
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Современные технологииПонятная рольЩедрый пакет льготОфис дважды в неделю
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Quality Engineer (Python/Databricks): Building automated quality assurance for cloud data applications and lakehouse platforms with an accent on shift-left engineering, behavior-driven development, and Python testing. Focus on designing scalable test frameworks, validating dbt and data-engineering workflows, and collaborating across Scrum teams to prevent regression.
Location: Hybrid, with two days per week in the office in Atlanta, Boston, Chicago, New York, or West Hartford, United States
Salary: $120,000–$160,000 annually, plus performance-based bonus
Company
hirify.global USA is a specialty commercial insurance business serving commercial clients through broker and direct distribution channels, including technology, cyber and data risk, professional liability, and other specialty products.
What you will do
Engage stakeholders early to understand business needs for data applications and convert them into clear, testable requirements with product owners.
Develop automated tests and expand automation frameworks to verify requirements and prevent regression.
Collaborate with data engineers and quality engineers to deliver quality code and coherent, comprehensive test coverage.
Participate in code reviews for data and quality engineers and promote continuous improvement.
Balance detailed quality validation with risk-based approaches to deliver outcomes at high velocity.
Help build a culture where everyone owns quality in a psychologically safe environment.
Requirements
Confidence, ability, and desire to shift left and understand what quality means for the business.
Deep familiarity with behavior-driven development, including Cucumber and Gherkin syntax for test scenarios.
Experience with modern test automation and an SDET approach involving production code for quality outcomes.
Excellent knowledge of Python testing frameworks, particularly pytest.
Good knowledge of SQL and ideally dbt.
Hands-on experience with modern cloud data lakehouse technologies, such as Databricks or Snowflake.
Experience collaborating with technical and non-technical colleagues in Agile Scrum ceremonies, including roadmap planning, feature workshops, backlog elaboration, and code review.
Ability to understand data structures and algorithms and apply this knowledge when learning new tools; familiarity with the entire technology stack is not required.
Nice to have
Additional technology experience, data science knowledge, or an insurance background.
Culture & Benefits
Permanent full-time employment in a dynamic, creative, and values-driven culture with modern open offices.
Company-paid life, short-term disability, and long-term disability coverage, plus paid parental leave.
Four-week paid sabbatical after every five years of service.
Financial adoption assistance, medical travel reimbursement, and up to $600 annual fitness reimbursement.
Technology teams use Databricks, dbt, Power BI, pytest, Azure Pipelines, and AI tools including Claude Code.
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