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4 дня назад

Engineering Manager – Data Quality

147 760 - 240 110$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
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
Engineering Manager – Data Quality (Data Engineering/AI/ML): Leading enterprise data quality strategy and developing scalable validation, monitoring, anomaly detection, and automated quality pipelines for connected asset data with an accent on data governance, reliability, and quality by design. Focus on embedding controls into APIs, platforms, CI/CD, and data pipelines, applying AI/ML for profiling and root cause analysis, and building a high-performing engineering team.

Location: Onsite five days a week at the Mossville, Illinois or Irving, Texas office. Up to 10% travel required. Domestic relocation assistance is available.

Salary: $147,760–$240,110 per year

Company

hirify.global develops connected asset, industrial, and technology solutions for customers and communities worldwide.

What you will do

  • Lead the data quality strategy for connected asset data across enterprise platforms and products.
  • Establish data quality frameworks, rules, KPIs, validation, monitoring, and anomaly detection solutions.
  • Embed data quality controls into APIs, data pipelines, CI/CD, and platform architecture.
  • Apply AI/ML to data profiling, anomaly detection, and root cause analysis.
  • Lead and develop data quality engineers and analysts through coaching and technical leadership.
  • Collaborate with engineering, analytics, product, platform, telecom, and governance teams to support releases, resolve defects, and communicate quality risks.

Requirements

  • 8+ years of software or data engineering experience, including 2–5 years in leadership roles.
  • Experience with data pipelines, ETL/ELT frameworks, cloud platforms such as Azure, AWS, or GCP, and automated validation frameworks.
  • Strong experience in data quality, data governance, data engineering ecosystems, data modeling, metadata management, and data lineage.
  • Knowledge of software development life cycle, software quality assurance, testing, and data platform CI/CD or DevOps.
  • Bachelor’s or master’s degree in computer science, software engineering, data engineering, or a related field.
  • Must work onsite five days per week at the Mossville, Illinois or Irving, Texas office; visa sponsorship is not available.

Nice to have

  • Experience with AI/ML-based data quality monitoring.
  • Familiarity with Kafka, streaming data platforms, and event-driven architectures.
  • Experience in regulated industrial, manufacturing, healthcare, or finance environments.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • Paid time off, holidays, and volunteer time.
  • 401(k), HSA, FSA, disability, life insurance, and parental leave benefits.
  • Career development, tuition reimbursement, incentive bonus, and employee discounts.
  • Equal opportunity employment environment.

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