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3 часа назад

Manager Engineering Transformation (Data Quality)

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

Manager Engineering Transformation (Data Quality): Leading a high-performing team to ensure the accuracy and reliability of enterprise connectivity data with an accent on data governance and scalable validation frameworks. Focus on driving AI/ML adoption for data profiling and implementing automated quality checks within CI/CD pipelines.

Location: Must be based in Peoria, IL. Relocation assistance is available, but visa sponsorship is NOT available.

Salary: $147,760.00 - $240,110.00

Company

hirify.global is a global leader in constructing and mining equipment, dedicated to creating sustainable communities through technological innovation in digital and data systems.

What you will do

  • Define and lead the enterprise connected asset data quality strategy aligned with business objectives and platform architecture.
  • Establish standardized data quality frameworks, rules, and metrics for completeness, accuracy, and consistency.
  • Design and implement scalable data validation, monitoring, and anomaly detection solutions.
  • Drive the adoption of AI/ML techniques for data profiling, anomaly detection, and root cause analysis.
  • Build, mentor, and lead a team of data quality engineers and analysts, focusing on their career development.
  • Collaborate with cross-functional teams to define quality requirements, SLAs, and ensure readiness for releases.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
  • 8+ years of experience in software or data engineering.
  • 2–5 years of experience in leadership roles.
  • Hands-on experience with data pipelines, ETL/ELT frameworks, and cloud platforms (Azure, AWS, or GCP).
  • Must be based in Peoria, ILL.
  • Visa sponsorship is not available.

Nice to have

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

Culture & Benefits

  • Comprehensive medical, dental, and vision benefits.
  • 401(k) savings plans and Health Savings Account (HSA).
  • Paid time off including vacation, holidays, and volunteer days.
  • Tuition reimbursement and continuous career development opportunities.
  • Parental leave and adoption benefits.
  • Incentive bonus programs and health lifestyle support.

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