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4 дня назад

Software Engineer (Python/SQL)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Software Engineer (Python/SQL): Building and modernizing inbound clearing pipelines, automated financial reporting tools, and operational data systems with an accent on data normalization, reconciliation, and high-correctness workflows. Focus on re-architecting legacy pipelines, resolving data irregularities, and using AI-assisted development tooling to improve delivery quality and velocity.

Location: Onsite in Bala Cynwyd, Philadelphia Area, Pennsylvania, United States

Company

hirify.global is a global quantitative trading firm combining financial markets expertise, engineering, machine learning, and quantitative research.

What you will do

  • Re-architect and enhance inbound clearing pipelines to normalize data across asset classes, products, and clearing venues.
  • Develop and maintain automated reporting tools for financing, margin, cash movements, and exposure.
  • Drive reconciliation and data quality initiatives across positions, balances, and trades.
  • Support daily clearing workflows and resolve data irregularities with Operations.
  • Gather requirements and collaborate with Operations, Treasury, Trading, and engineering stakeholders.
  • Use AI-assisted development tooling to improve delivery quality and velocity.

Requirements

  • 3–6 years of hands-on software development experience.
  • Strong Python and SQL fundamentals, including work with large structured datasets.
  • Experience building data pipelines or data-intensive services.
  • Experience developing high-correctness systems involving reconciliation, reporting, or similar workflows.
  • Strong analytical, problem-solving, communication, and stakeholder collaboration skills.
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance, or a related field; relevant experience may substitute.

Nice to have

  • Experience in clearing, settlements, treasury, or financial operations.
  • Exposure to large-scale data platforms or distributed systems such as Hadoop, HBase, or Druid.
  • Interest in automating manual workflows and building transparent operational systems.

Culture & Benefits

  • End-to-end ownership of meaningful parts of the clearing and reporting platform.
  • Opportunity to modernize legacy pipelines and expand analytics tooling.
  • Collaborative, non-hierarchical environment with direct business impact.
  • Active investment in AI tooling and its use in engineering work.
  • Work closely with researchers, engineers, traders, Operations, and Treasury.

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