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1 день назад

Engineering Manager - Data Quality (Manufacturing)

147 760 - 240 110$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Релокация
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

Engineering Manager - Data Quality (Manufacturing): Leading a high-performing team to ensure the accuracy and reliability of enterprise connectivity data for machines and engines with an accent on scalable data quality frameworks and automated validation pipelines. Focus on driving AI/ML adoption for anomaly detection and managing cross-functional data governance to support analytics and business decision-making.

Location: Onsite in Peoria, Illinois, USA. Relocation assistance is available.

Salary: $147,760 - $240,110

Company

hirify.global is a global leader in manufacturing construction and mining equipment, focusing on creating sustainable communities and innovative machinery.

What you will do

  • Define and lead the enterprise connected asset data quality strategy aligned with platform architecture.
  • Design and implement scalable data validation, monitoring, and anomaly detection solutions.
  • Drive the adoption of AI/ML techniques for data profiling and root cause analysis.
  • Build, mentor, and lead a team of data quality engineers and analysts.
  • Collaborate with software engineering, data engineering, and product teams to define quality SLAs.
  • Communicate data quality health metrics and risks to leadership.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
  • 8+ years of experience in software/data engineering, including 2–5 years in leadership roles.
  • Strong expertise in data quality, data governance, and ETL/ELT frameworks.
  • Hands-on experience with cloud platforms such as Azure, AWS, or GCP.
  • Must be based in or be able to relocate to Peoria, IL.
  • Visa sponsorship is NOT available.

Nice to have

  • Experience with AI/ML-based data quality monitoring.
  • Familiarity with Kafka and event-driven architectures.
  • Exposure to regulated environments in industrial or manufacturing sectors.
  • Knowledge of CI/CD pipelines and DevOps for data platforms.

Culture & Benefits

  • Comprehensive medical, dental, and vision benefits.
  • 401(k) savings plans, Health Savings Account (HSA), and Flexible Spending Accounts (FSAs).
  • Paid time off including vacation, holidays, and volunteer days.
  • Tuition reimbursement and career development support.
  • Parental leave and adoption benefits.

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