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Director, Data Engineering (Enterprise Data Products & Engineering)

139 400 - 230 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
director
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
Director, Data Engineering (Enterprise Data Products & Engineering) (Data Platforms, AI/ML): Leading teams building analytic data products and scalable pipelines that capture, transform, and deliver enterprise data for artificial intelligence, machine learning, and business intelligence with an accent on Databricks, Snowflake, Data Vault 2.0, Python, and SQL. Focus on operationalizing secure data capabilities, shaping enterprise data strategies, and mentoring data engineering professionals.

Location: CT - Hartford, United States

Annual base salary: $139,400–$230,000, plus eligibility for performance-based cash incentive awards.

Company

hirify.global is a property and casualty insurance company with more than 170 years of industry experience.

What you will do

  • Lead the development of analytic data products, including pilots and proof of concepts.
  • Direct teams building pipelines and data solutions for AI, machine learning, business intelligence, and enterprise insights.
  • Execute data strategies aligned with enterprise architecture, platforms, consumption patterns, and application infrastructure.
  • Operationalize and automate secure, supported, and scalable data capabilities.
  • Present analysis and recommendations to influence management decisions.
  • Mentor data engineers, establish team processes, and maintain relationships with partner teams.

Requirements

  • Bachelor’s degree in computer science, a related STEM field, or equivalent education and experience.
  • At least 6 additional years of data engineering experience.
  • Five or more years of related experience balancing leadership and hands-on technical responsibilities.
  • Two or more years of management experience leading and developing technical professionals.
  • Advanced hands-on knowledge of Databricks, Snowflake, Data Vault 2.0, Python, and SQL.
  • Familiarity with AI tools, concepts, workflows, and AI-powered platforms such as Claude.

Culture & Benefits

  • Health insurance coverage is available from the first day of employment for eligible employees and family members.
  • Dollar-for-dollar 401(k) matching is available on the first 5% of eligible pay, subject to an annual maximum, along with a company-funded pension plan.
  • Benefits include at least 20 paid time-off days annually and nine paid company holidays.
  • Wellness resources include mental health counseling, health coaching, caregiving support, and discounts.
  • Volunteer and charitable giving programs support community involvement.

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