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Hire.Monster

Data Engineer (Service team)

New York, New York, US
FinTechУдалённаяАналитикаСША

Обязанности

  • We're looking for a Data Engineer to help us build and maintain reliable, scalable data workflows that power our trade surveillance platform
  • AWS (EFS, EC2, SGW, ASG, NLB, and more)
  • Terraform & Ansible for infrastructure as code
  • Kubernetes (K8s) and Docker
  • Grafana & Sentry for observability (metrics, logs, alerts)
  • Apache Airflow for data-processing pipelines
  • Build, maintain, and customize ETL pipelines that process large volumes of data on a daily basis
  • Investigate data processing issues and resolve them

Collaborate directly with clients to gather requirements, provide updates, and ensure successful delivery of data workflows

Требования

  • Are a curious and adaptable engineer who enjoys working with complex data flows, transforming large datasets, and adapting systems to real-world business needs
  • Want to deepen your skills and further develop as a Data Engineer or Python developer
  • Have a genuine interest in the investing and trading domain and are excited about gaining international experience and career opportunities in a high-impact field
  • Python 3 as the primary programming and scripting language
  • Linux : confident with the command line and system fundamentals
  • GitLab / Git : working knowledge of Git, understanding of core branching strategies (Git Flow, GitHub Flow, GitLab Flow) and main git commands
  • Python : hands-on experience with Python and main tools for data manipulation : Pandas, Numpy, working with datetimes, string transformations
  • English : professional working proficiency (spoken and written)
  • Kubernetes & Docker : ability to explore a cluster, inspect pods / containers

Experience working with Apache Airflow (especially for managing data processing pipelines)

Навыки

Basic knowledge of financial markets and trading workflows : common asset classes (e.g., equities, derivatives, fixed income), trade lifecycle events, and corporate actions

Условия

  • Flexible working arrangements : full remote, hybrid, or office-based, depending on your location and preferences
  • Competitive compensation, aligned with your experience, skillset, education, and local market standards
  • Regular performance reviews linked to salary adjustments
  • Medical insurance for you and immediate family members
  • Professional-development budget to support courses, certifications, and conferences

Supportive international team

Опубликовано: 05.01.2026