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6 дней назад

Backend Engineer (Financial Data)

250 000 - 315 000$
Формат работы
onsite
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
Backend Engineer (Financial Data) (Python/GCP/AI): Building scalable infrastructure and data pipelines that ingest, transform, integrate, and serve heterogeneous financial datasets for enterprise AI with an accent on distributed systems, reliability, and low-latency processing. Focus on designing streaming and batch pipelines, connecting market data sources, optimizing large-scale storage and query systems, and securely serving data to AI models and retrieval systems.

Location: New York City, United States; on-site

Base salary: $250,000–$315,000 per year, plus equity and benefits

Company

hirify.global is an enterprise AI startup transforming financial workflows for investment banks, private equity funds, and investment firms.

What you will do

  • Own data infrastructure that ingests, transforms, and serves structured and unstructured financial datasets.
  • Design scalable, cost-effective streaming and batch pipelines processing millions of documents and data points daily.
  • Integrate market data vendors, proprietary sources, and third-party financial datasets into reliable, queryable platforms.
  • Partner with the Core AI team to structure and serve data for model and retrieval-system performance.
  • Build secure, compliant integrations for enterprise customer data.
  • Raise engineering standards through technical ownership, high-quality code, and collaborative leadership.

Requirements

  • Bachelor's degree in Computer Science or a related field.
  • 5+ years of professional software engineering experience building complex, data-intensive backend systems.
  • 5+ years of hands-on experience with GCP or an equivalent cloud stack.
  • Deep Python expertise and proficiency in a strongly typed language such as Rust, C++, or Java.
  • Experience designing distributed systems with asynchronous patterns, streaming, queuing, caching, observability, relational databases, SQL, NoSQL, Redis, and columnar stores.
  • Experience operating large-scale financial data pipelines and collaborating with globally distributed engineering teams.

Nice to have

  • Strong Java proficiency.
  • Demonstrated passion for corporate finance, capital markets, and financial data.

Culture & Benefits

  • Full-time employment with equity eligibility.
  • Comprehensive medical, dental, and vision coverage.
  • Paid time off.
  • Autonomous, ownership-driven work in a fast-paced startup environment.
  • Opportunity to work on AI infrastructure for leading financial institutions.

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