Назад
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9 дней назад

Senior Manager, Data Engineering

110 000 - 220 000$
Формат работы
onsite
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 Manager, Data Engineering (Data Engineering/Cloud): Leading the design and deployment of scalable data solutions, pipelines, and models for supply chain operations with an accent on data integration, governance, quality, and big data platforms. Focus on translating complex business requirements into architectures, automating data processes, mentoring engineers, and ensuring reliable, compliant data assets.

Location: Bentonville, Arkansas, United States; Change Building AR Bentonville Home Office

Annual salary: $110,000–$220,000, plus performance-based bonuses and possible stock compensation.

Company

hirify.global supports business operations through scalable data solutions, with this role aligned to Supply Chain Centralized Services and Data Enablement.

What you will do

  • Lead the design, development, and deployment of scalable data engineering solutions across multiple platforms.
  • Translate complex business problems and requirements into data-driven strategies, architectures, and technical implementations.
  • Oversee data integration, transformation, data quality assurance, modeling, and reliable pipeline development.
  • Implement data governance practices aligned with regulatory, privacy, security, and ethical standards.
  • Collaborate with cross-functional teams to align data architecture with business objectives.
  • Mentor team members, promote best practices, evaluate emerging technologies, and improve big data analytics and automation.

Requirements

  • Either a bachelor's degree in Computer Science and 5 years of experience in software engineering or a related field; 7 years of experience in software engineering or a related field; or a master's degree in Computer Science and 3 years of experience in software engineering or a related field.
  • At least 4 years of experience in data engineering, database engineering, business intelligence, or business analytics.
  • At least 1 year of supervisory experience.
  • Extensive experience with data transformation, integration, and big data analytics.
  • Proficiency in SQL and other programming languages relevant to data pipeline development and automation.
  • Strong knowledge of data governance, data quality frameworks, and regulatory requirements related to data privacy and security.
  • Expertise in data modeling, data warehousing, and cloud-based big data platforms such as Snowflake, Azure, or Google BigQuery.
  • Ability to design and implement scalable data architectures and pipelines using modern tools and orchestration frameworks.
  • Ability to translate complex business requirements into effective data solutions and strategies.

Nice to have

  • Experience with ETL tools and large data sets in the cloud.
  • A master's degree in Computer Science or a related field and 5 years of experience in software engineering or a related field.
  • Experience creating inclusive digital experiences and knowledge of WCAG 2.2 AA standards, assistive technologies, digital accessibility best practices, and accessibility standards.

Culture & Benefits

  • Full-time employment with medical, vision, and dental coverage.
  • 401(k), stock purchase opportunities, company-paid life insurance, and performance-based bonuses.
  • Paid time off, sick leave, parental leave, family care leave, bereavement leave, jury duty leave, voting leave, and other leave programs.
  • Short- and long-term disability coverage, company discounts, military leave pay, and adoption and surrogacy expense reimbursement.
  • Access to Live Better U, a Walmart-paid education benefit covering eligible programs, tuition, books, and fees.

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