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16 часов назад

Data Engineer II - Snowflake, dbt, AWS (Data Engineering)

126 500 - 208 700$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Data Engineer II - Snowflake, dbt, AWS (Data Engineering): Building and operationalizing complex data pipelines and a unified analytics data layer for enterprise BI, AI, and machine learning with an accent on Snowflake, SQL, dbt, data mapping, and platform integration. Focus on managing schema drift across active source platforms, normalizing claim data, optimizing query and pipeline performance, and maintaining data governance, security, and quality.

Location: Hartford, Connecticut, United States

Salary: $126,500–$208,700 annual base salary, plus performance-based cash incentive eligibility.

Company

hirify.global is a property and casualty insurance company focused on serving customers and communities through innovation and collaboration.

What you will do

  • Build, design, deploy, and operationalize complex data solutions and pipelines.
  • Develop a unified analytics data layer that provides consistent claim data to downstream BI consumers across concurrent source platforms.
  • Manage schema drift, field migrations, value mapping, data virtualization, and format normalization.
  • Analyze data sources, recommend data cleansing and quality improvements, and apply transformations.
  • Implement data governance, security, and quality practices while testing data movement and transformation code.
  • Collaborate with engineering teams, business partners, and end users to deliver and support complex data products.

Requirements

  • Bachelor’s degree in computer science, a STEM-related field, or equivalent education and experience.
  • At least four additional years of data engineering experience; the position also describes eight years of related experience.
  • Hands-on experience with Snowflake, including views, streams, and other core platform features.
  • Strong SQL skills and practical experience with dbt for data transformation, schema management, and pipeline development.
  • Experience with data warehousing, multi-layer data architectures, data mapping, systems migration, and platform integration.
  • Strong problem-solving, written communication, verbal communication, and collaboration skills.

Culture & Benefits

  • Health insurance for eligible employees and family members from the first day of employment.
  • Dollar-for-dollar 401(k) contribution matching up to the first 5% of eligible pay, subject to an annual maximum.
  • Company-funded pension plan and student loan savings support program.
  • At least 20 paid time-off days annually plus nine paid company holidays.
  • Wellness resources, mental health counseling, health coaching, and caregiving support.
  • Volunteer and charitable giving matching programs.

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