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4 дня назад

Senior Quality Engineer (Python/Databricks)

120 000 - 160 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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.
  • Competitive salary, performance-based bonus, 401(k) matching, health, vision, dental, and FSA plans.
  • 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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