KDB+ / Q Database Engineer | 2025PX11002 | DLTJP00046211|DELO-54207

Job Description

We are seeking an experienced   KDB+ / Q Database Engineer   to support a high-performance trading environment. This individual will be responsible for designing, developing, and maintaining ultra-low-latency time series databases, ensuring scalability, performance, and reliability in a mission-critical setting. The ideal candidate has deep hands-on expertise in KDB+ / Q development, with additional skills in system operations, configuration management, and automation.

This is a fully onsite role in Midtown Manhattan, requiring close collaboration with the client’s quant and trading teams.

Responsibilities

• Collaborate with client development teams to design and implement   low-latency, high-throughput data solutions   for trading and analytics.
• Develop and enhance   KDB+ / Q solutions   by gathering requirements, coding, testing, and deploying to production.

Maintain and optimize existing KDB+ / Q infrastructure for performance and scalability.

Requirements

Qualifications

Solid understanding of   time-series databases   and low-latency trading use cases.

Preferred Background

Previous work with   First Derivative, AquaQ / Data Intellect , or similar KDB+ / Q consulting boutiques is highly desirable.

Work Timing

(GMT -0500)   Eastern Time - New York   (EST)

New York City, New York  30 Rockefeller Plaza New York

Hours per week

40

Duration of Contra

72  Days

Application Process

Please visit  Jobs at Mindverse Consulting Services Private Limited  and locate the applicable job title. Read the JD in details and Click "I'm Interested" and fill out accordingly.

Attach your CV and any other document you deem fit along with the "Screening Questions" which is mandatory. Please be specific and detailed. Note these questions are from the custom to evaluate your candidature.

Any vague or inconclusive answer will not be considered.

Incase of any query, feel free to reach out to career@mindverseconsulting.com

Requirements

KDB+ Q programming Time-series databases Low latency systems Data engineering Ansible Shell scripting SQL Python Financial services technology