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Engineering Manager (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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Текст:
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TL;DR
Engineering Manager (Data Quality) (Data Engineering/AI-ML): Leading the development of enterprise data quality frameworks, automated validation pipelines, and anomaly detection solutions for connected asset data with an accent on data governance, cloud platforms, and software quality. Focus on embedding quality controls into APIs and data pipelines, applying AI/ML for monitoring and root cause analysis, and developing a team of data quality engineers and analysts.

Location: Onsite five days a week in Mossville, Illinois or Irving, Texas, United States. Domestic relocation assistance is available.

Salary: $147,760–$240,110 per year

Company

Building industrial equipment and connected-asset technologies that support stronger and more sustainable communities.

What you will do

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

Requirements

  • 8+ years of experience in software or data engineering, including 2–5 years in leadership roles.
  • Hands-on experience with data pipelines, ETL/ELT frameworks, cloud platforms such as Azure, AWS, or GCP, and automated testing and validation frameworks.
  • Strong experience in data quality, data governance, data engineering ecosystems, data modeling, metadata management, and data lineage.
  • Knowledge of software development, SDLC, software architecture, quality assurance, and testing.
  • Bachelor’s or master’s degree in computer science, software engineering, data engineering, or a related field.
  • Visa sponsorship is not available; the role requires onsite work five days per week in Mossville or Irving.

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.
  • Knowledge of CI/CD and DevOps for data platforms.

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.
  • Up to 10% travel is required.

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