6 дней назад
Backend Engineer (Financial Data)
250 000 - 315 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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