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2 дня назад

Manufacturing Controls Engineer (Data Analytics)

Формат работы
hybrid
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

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TL;DR

Manufacturing Controls Engineer (Data Analytics): Implementing and standardizing device-level analytics controls architecture across vehicle assembly and powertrain plants with an accent on PLC logic development and data parsing. Focus on automating PLC logic generation and ensuring compliance with corporate hardware and cybersecurity standards.

Location: Hybrid (Warren, Michigan). Must be based in the US; no immigration sponsorship is provided. Requires frequent travel (50% or more).

Company

hirify.global is a global automotive leader redefining mobility through human-centered design, intelligent software, and next-generation vehicle systems.

What you will do

  • Develop, validate, and standardize PLC logic for controls device data parsing.
  • Implement and standardize DLA controls architecture across manufacturing facilities.
  • Own and maintain automated PLC logic generation tools.
  • Ensure compliance with corporate hardware, software, networking, and cybersecurity standards.
  • Collaborate cross-functionally with IT, DLA, and plant teams to deliver scalable solutions.
  • Provide technical guidance, training, and implementation support to internal teams and suppliers.

Requirements

  • Bachelor’s degree in Engineering.
  • 3+ years of experience in PLC controls programming, automation, or manufacturing engineering.
  • Hands-on expertise with Rockwell and Siemens controls systems.
  • Strong PLC programming experience within automotive assembly or powertrain environments.
  • Legal authorization to work in the US without current or future sponsorship (H1-B, OPT, etc.).
  • Ability to travel 50% or more on a frequent basis.

Nice to have

  • Experience with FANUC systems.
  • Knowledge of data analytics concepts and tools like Tableau, Power BI, or Python.
  • Background in automotive plant maintenance or industrial engineering.

Culture & Benefits

  • Comprehensive Total Rewards package focusing on employee well-being.
  • Hybrid work model requiring office presence at least 3 times a week.
  • Company vehicle provided upon successful Motor Vehicle Report review.
  • Inclusive corporate environment committed to non-discrimination and equity.

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