Senior KDB+/Q Low-Latency Real-Time Data Engineer

Madison-Davis, LLC

New York (NY)

On-site

USD 92,000 - 132,000

Full time

5 days ago
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Job summary

Madison-Davis, LLC seeks a Senior KDB Developer to design and implement low-latency platforms for real-time equities data in a large financial-services environment.

You will build streaming pipelines, RDB/HDB architectures, and scalable tickerplant solutions, collaborating with trading, quantitative, engineering, QA, and production teams.

Onsite in New York City three days per week.

Qualifications

  • Experience with KDB+/Q in low-latency environments.
  • Background in real-time data processing and streaming.
  • Experience with financial services and large-scale datasets.
  • Strong Linux/Unix skills and Python or Java.
  • Understanding of time-series architecture and streaming data.
  • Ability to collaborate with front-office and tech teams.

Responsibilities

  • Design and develop low-latency KDB+/Q platforms for real-time financial data.
  • Build and optimize streaming pipelines for market, ticker, order, and execution data.
  • Develop scalable tickerplant, RDB, and HDB architectures.
  • Create time-series models and high-performance query frameworks.
  • Improve platform latency, throughput, reliability, and query performance.
  • Develop APIs and reusable components for trading and analytics applications.
  • Implement monitoring and automated data-quality controls.
  • Investigate and resolve complex real-time data and production issues.

Skills

KDB+/Q
Real-time data processing
Time-series architecture
Collaboration with stakeholders
Low-latency development

Education

Tools

AWS
Java
Linux/Unix
Python
Unix
Cloud

Job description

Madison-Davis, LLC seeks a Senior KDB Developer to design and implement low-latency platforms for real-time equities data in a large financial-services environment.

You will build streaming pipelines, RDB/HDB architectures, and scalable tickerplant solutions, collaborating with trading, quantitative, engineering, QA, and production teams.

Onsite in New York City three days per week.

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