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19 часов назад

Engineering Manager (Reference Data, Fintech)

160 000 - 250 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
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 (Reference Data): Lead the Reference Data team in acquiring, cleansing, modeling, and integrating market and security master data from third-party providers with an accent on scalable frameworks using PySpark, Python, AWS, Terraform, Java, Kubernetes, and microservices. Focus on building performant data ingestion and distribution systems, developing AI-native products from prototype to production, and optimizing processes for data quality and operational efficiency.

Location: Remote, USA. Must be legally authorized to work in the United States without requiring current or future visa sponsorship.

Salary: $160,000 - $250,000 (base salary) + bonus + equity + benefits

Company

Global data and AI platform empowering investment professionals to manage nearly $9 trillion in assets across 1,400+ firms in 60 countries.

What you will do

  • Drive technical direction in alignment with product counterparts, engineering peers, and the wider community.
  • Build and manage a team of engineers to design, develop, and deploy scalable solutions meeting client requirements.
  • Act as player-coach to build frameworks for high-performance financial data ingestion/distribution and AI-native products.
  • Advocate for standard methodologies, automation, and optimizations to improve throughput, latency, and accuracy.
  • Develop process controls and metrics to enhance data quality and operational efficiency.
  • Deliver high-quality results in a fast-paced environment while driving continuous improvement.

Requirements

  • 2+ years proven experience leading engineering teams; 5+ years professional backend engineering as individual contributor.
  • Computer science degree or equivalent experience.
  • Strong problem-solving and decision-making skills.
  • Prior experience with distributed systems, microservices, and messaging queues.
  • Working knowledge of at least one OOP language (PySpark, Python, Java), relational databases, SQL, and data pipelines.
  • Legally authorized to work in the US without visa sponsorship (H-1B, F-1/OPT, etc.).

Nice to have

  • Knowledge of financial concepts (stocks, bonds, etc.).
  • Passion for FinTech and solving complex investment management problems.

Culture & Benefits

  • Act Like an Owner: Think and operate with intention, purpose, and care.
  • Build Together: Collaborate to unlock best solutions and deliver lasting value.
  • Champion Our Clients: Exceed expectations for client success.
  • Drive Innovation: Be bold in problem-solving to transform the industry.
  • Embrace Learning: Engage community with a growth mindset.
  • Equal opportunity employer committed to diversity, inclusion, and accommodations for disabilities.

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