Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$139к-230к/год
$190к$220кмедиана$240к
По похожим ролям (50) ~ $220к/год
60
Средняя вакансия
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Роль четко определена с хорошим стеком технологий, но зарплата значительно ниже рыночных ожиданий, что может снизить привлекательность.
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Низкая зарплатаЧеткая рольСовременный стек
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Director, Data Engineering (Enterprise Data Products & Engineering) (Databricks/Snowflake): Leading the development of enterprise analytic data products and pipelines that support AI, machine learning, and business intelligence with an accent on scalable data platforms, automation, and secure architecture. Focus on operationalizing data capabilities, presenting recommendations to management, and mentoring data engineering teams.
Location: Hartford, Connecticut, 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 focused on serving customers and communities through innovation and collaboration.
What you will do
Lead the development of analytic data products, pilots, and proof-of-concepts.
Execute data strategies aligned with enterprise architecture, platforms, application infrastructure, and data consumption patterns.
Operationalize and automate data capabilities to deliver secure, supported, and scalable solutions.
Present analysis and recommendations to influence management decisions.
Mentor, coach, and develop data engineers while establishing team processes and procedures.
Partner with related teams to coordinate requirements, dependencies, and delivery plans.
Requirements
Bachelor’s degree in computer science, a related STEM field, or equivalent education and experience.
At least six additional years of data engineering experience.
Five or more years of related experience balancing leadership and hands-on technical responsibilities.
At least two years of management experience leading and developing technical professionals.
Advanced hands-on knowledge of Databricks, Snowflake, Data Vault 2.0, Python, and SQL.
Experience with AI tools, concepts, workflows, and AI-powered platforms such as Claude.
Culture & Benefits
Health insurance for employees and eligible family members from the first day of employment.
Dollar-for-dollar 401(k) matching on the first 5% of eligible pay, subject to an annual maximum, plus a company-funded pension plan.
At least 20 paid time-off days annually and nine paid company holidays.
Wellness resources, discounts, caregiving support, and free professional counseling services.
Student loan support through the Paying it Forward Savings Program and opportunities to participate in volunteer and matching-gift programs.
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