2 дня назад
Senior Quantitative Data Engineer (Python/AWS)
200 000 - 220 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Quantitative Data Engineer (Python/AWS): Architecting and operating next-generation data platforms and high-throughput market-data pipelines for research, systematic trading, AI, and risk analytics with an accent on low-latency streaming, scalable lakehouse architecture, and resilient infrastructure. Focus on building batch and streaming workflows processing billions of daily events, exposing curated datasets through versioned APIs, and meeting sub-minute SLAs through observability and automated data quality checks.
Location: New York, New York, United States
Base pay: $200,000–$220,000 per year, plus potential performance bonus and benefits.
Company
is a global multi-manager hedge fund using proprietary technology, infrastructure, and risk analytics across quantitative, tactical, fundamental equity, and discretionary macro and fixed-income strategies.
What you will do
- Architect and operate reliable, cost-efficient data platforms with Infrastructure as Code and Git-driven CI/CD.
- Build and evolve batch and streaming pipelines processing billions of market-data events each day.
- Design high-performance lakehouse tables and expose curated datasets through robust, versioned APIs.
- Optimize workflows for sub-minute SLAs with end-to-end observability and automated data-quality checks.
- Collaborate with traders, quants, data scientists, and engineers on research, trading, AI, and risk analytics platforms.
- Mentor junior engineers and promote high coding standards and resilient data practices.
Requirements
- 7+ years building production data platforms with Python and SQL.
- Deep expertise in big-data architecture, including partitioning, sharding, and columnar formats.
- Hands-on experience with SingleStore/MemSQL, Spark, Flink, EMR, Kafka, or Kinesis.
- Strong AWS skills and mastery of Terraform or CloudFormation for Infrastructure as Code.
- Experience delivering AI/ML data services, feature pipelines, feature stores, or RAG pipelines.
- Experience with performance tuning, API design and versioning, and OpenAPI/Swagger documentation.
Nice to have
- Market-data expertise covering tick, options, or macro data.
- Experience with Iceberg, Delta Lake, or Hudi on S3.
- Real-time analytics and performance-profiling experience.
- Contributions to open-source data tooling or technical talks.
Culture & Benefits
- Collaborative, teamwork-oriented environment where ideas are encouraged at every level.
- Learning and educational offerings to support continuous development.
- Opportunities to innovate, pursue ambitious goals, and make a meaningful impact.
- Internal networks, external partnerships, and service initiatives promoting inclusion and community.
- Competitive benefits package and potential performance bonus.
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