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2 дня назад

Senior Manager, Data Engineering

104 000 - 123 500$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
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
Senior Manager, Data Engineering (Data Platforms/ML Enablement): Building and optimizing data architecture, ETL pipelines, semantic layers, and data platform operations with an accent on data quality, monitoring, and agile delivery. Focus on establishing MLOps and ML/AI platform capabilities, resolving pipeline issues, and leading data engineers through complex cross-functional workstreams.

Location: United States; full-time remote work is available. KIPP Foundation offices are located in New York City and Chicago.

Salary: $104,000–$123,500 per year

Company

KIPP Foundation is a nonprofit organization supporting a national network of tuition-free public charter schools through educator development, teaching and learning resources, innovation, and collaboration.

What you will do

  • Own end-to-end delivery of data architecture, semantic layer, ETL, pipeline, data model, and testing solutions.
  • Lead sprint planning, release planning, sprint execution, dependency management, and delivery tracking.
  • Design and operate data quality frameworks with monitoring, alerting, root cause analysis, and impact assessments.
  • Manage and continuously improve data platform operations, pipelines, monitoring standards, and operational controls.
  • Establish foundational MLOps, machine learning, feature engineering, and ML/AI platform integration capabilities.
  • Partner with analytics, application development, IT operations, product management, and regional data teams while mentoring data engineers.

Requirements

  • 8+ years of professional experience in data engineering, infrastructure engineering, or a related technical field.
  • Strong proficiency in SQL, Spark, PySpark, SSIS, ETL, data pipelines, and data platform operations.
  • Experience with SQL Server and cloud data warehouse or lakehouse platforms such as Microsoft Fabric/OneLake, Snowflake, or Databricks.
  • Experience managing agile sprint operations, DevOps metrics, and JIRA or a similar project management tool.
  • Experience with Git-based version control and CI/CD platforms such as Bitbucket, GitHub, or Azure DevOps.
  • Bachelor’s degree in data engineering, computer science, or a related field; a master’s degree is preferred.

Nice to have

  • Experience with SQL Server and Microsoft Fabric/OneLake.
  • Understanding of machine learning workflows and ML/AI enablement for data platforms.

Culture & Benefits

  • Mission-driven work supporting students, families, and communities through education.
  • Low travel requirement of approximately 10%, or 20 days per year.
  • 25 holidays and 18 flexible PTO days, increasing with tenure.
  • 100% paid parental leave and substantial medical, dental, and vision coverage.
  • Wellness reimbursements, backup care support, employee assistance, a 401(k) with 4% match, legal plans, life and disability insurance, and flexible spending accounts.

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