KDB+ Developer - Hybrid, Global Growth & Learning

Dataintellect; New York (NY); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Hybrid & flexible working

Paid training

Biannual promotions

Job summary

Data Intellect in New York seeks a hands-on kdb+ developer to design, test, and maintain high-performance client applications. You will collaborate with business users to define requirements and work across real-time and historical time-series data to deliver robust solutions.

The role combines independent work with teamwork in a hybrid environment, with opportunities for professional development, clear progression, and exposure to global teams.

Qualifications

• 2+ years of hands-on kdb+ development with time-series data.
• Strong knowledge of q language and time-series data structures.
• Experience in Unix/Linux environments.
• Excellent communication and problem-solving skills.
• Familiarity with SDLC and software development methodologies.
• Able to work independently and in a team.
• Capital Markets/Investment Banking experience optional bonus.

Responsibilities

• Collaborate with business users to define new application requirements.
• Develop, test, and maintain clean, performant code for client applications.
• Support project delivery with Project Managers and senior developers.
• Deliver solutions on time and on budget as part of a close-knit team.
• Analyse large-scale time-series data and generate actionable reports.
• Mentor junior developers and contribute to a learning culture.

Skills

kdb+ development

q language

time-series data structures

UNIX/Linux

problem solving

SDLC familiarity

independent & collaborative work

communication skills

capital markets experience (advantage)

Tools

Python

Cloud platforms

Job description

Data Intellect in New York seeks a hands-on kdb+ developer to design, test, and maintain high-performance client applications. You will collaborate with business users to define requirements and work across real-time and historical time-series data to deliver robust solutions.

The role combines independent work with teamwork in a hybrid environment, with opportunities for professional development, clear progression, and exposure to global teams.