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18 дней назад

Lead Data Engineer (Logistics)

135 000 - 155 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US/Mexico
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
Lead Data Engineer (Logistics): Building and maintaining scalable data pipelines, data vaults, warehouses, and marts for freight technology with an accent on SQL performance, Python-based data applications, and data quality. Focus on leading data engineers, designing evolving data structures, modernizing delivery processes, and delivering reliable operational and business metrics.

Location: Remote within the United States, Monday through Friday, generally from 8:00 AM to 5:00 PM with flexibility based on coverage.

Salary: $135,000–$155,000 annually, plus eligibility for annual performance incentives.

Company

A freight technology and supply chain solutions provider delivering data-centric logistics execution services and an integrated platform across North America and Mexico.

What you will do

  • Lead, mentor, and provide technical guidance to a team of data engineers.
  • Manage backlog grooming, sprint planning, prioritization, and delivery for data engineering projects.
  • Design, develop, and maintain robust pipelines from transportation management systems and other data sources.
  • Build and evolve data structures, the Data Vault, data warehouses, and data marts.
  • Ensure data accuracy, reliability, and completeness through validation and monitoring.
  • Partner with business leaders, executives, clients, engineers, and vendors on data strategy and technical initiatives.

Requirements

  • Bachelor’s degree or equivalent experience; backgrounds in business administration, mathematics, computer science, or a related field are preferred.
  • 8+ years of technology experience with Amazon RDS/Aurora/MySQL, Microsoft SQL Server, or Snowflake.
  • Exceptional SQL development and performance tuning skills.
  • Strong Python experience, including Pandas, Streamlit, NumPy, JSON, CSV, and Requests.
  • Strong communication, leadership, adaptability, initiative, and problem-solving skills.
  • Must be able to work remotely from within the United States.

Nice to have

  • Experience with TMS, WMS, Data Vault 2.0, Fivetran, Azure Data Factory, REST APIs, cloud platforms, Coalesce.io, or YAML.
  • Experience with Git, DevOps, CI/CD, data deployments, and infrastructure modernization.

Culture & Benefits

  • Fully remote work with weekday scheduling flexibility.
  • Learning and development resources, internal mobility, and employee referral opportunities.
  • Paid time off, floating holidays, volunteer time, rollover, and paid parental leave.
  • Medical, dental, vision, 401(k) with company match, flexible spending, transit, dependent care, and health savings account benefits.
  • Disability and subsidized life insurance, pet insurance, accident care, legal advice, employee resource groups, and community volunteer opportunities.

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