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Kdb Q Developer Jobs (NOW HIRING)

Data Intellect

Senior kdb+ Engineer

New York, NY · Hybrid

$114K - $157K/yr

If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear ... Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies.

Eliassen Group

Quant Developer

Jersey City, NJ · On-site

$80 - $90/hr

Design, develop, and optimize KDB+/q databases and analytics for high-volume market data. * Develop ... Collaborate with quants, product owners, and engineering on deployment and monitoring. * Support ...

Morgan Stanley

Vice President, Strats

Manhattan, NY · On-site

Code development and maintenance on the following programming languages: Java, Angular, Javascript, KDB/q and Python. • Architecture solutions for different automation problems and structure ...

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How much do kdb q developer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for kdb q developer in the United States is $56.12, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $61.30 per hour, depending on experience, location, and employer.

What is a Kdb Q Developer job?

A Kdb Q Developer is responsible for designing, developing, and maintaining applications using Kdb+, a high-performance time-series database, and its programming language, Q. They work primarily in industries dealing with large volumes of time-sensitive data, such as finance and trading. Their role includes writing efficient queries, optimizing database performance, and integrating Kdb+ with other systems. Strong proficiency in Q programming and experience with real-time data processing are essential for this role.

What are the key skills and qualifications needed to thrive in the Kdb Q Developer position, and why are they important?

To thrive as a Kdb Q Developer, you need strong programming skills in q and Kdb+, along with a solid background in computer science, data structures, and algorithms. Familiarity with financial industry platforms, real-time data processing systems, and proficiency in scripting languages like Python or Java are often advantageous, as is experience with Unix/Linux environments. Excellent problem-solving skills, effective communication, and the ability to collaborate with both technical and non-technical teams help distinguish top performers. These capabilities are critical for building efficient, reliable, and scalable data solutions that drive decision-making in fast-paced financial environments.

What are some common challenges that a Kdb Q Developer may face on the job?

Kdb Q Developers often work with extremely large datasets and are responsible for optimizing query performance and minimizing latency, which can be technically challenging. They regularly need to troubleshoot and fine-tune complex code in real-time trading or analytics systems where downtime can have significant consequences. Additionally, adapting quickly to frequent changes in business requirements and integrating their solutions with other technologies or platforms is a common part of the role. Collaborative work with data scientists, quants, and traders is typical, requiring clear communication to translate business needs into actionable technology solutions.

More about Kdb Q Developer jobs
What are the most commonly searched types of Kdb Q Developer jobs? The most popular types of Kdb Q Developer jobs are:
What states have the most Kdb Q Developer jobs? States with the most job openings for Kdb Q Developer jobs include:
What job categories do people searching Kdb Q Developer jobs look for? The top searched job categories for Kdb Q Developer jobs are:
Kdb Q Developer jobs near you
Infographic showing various Kdb Q Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $116,726 per year, or $56.1 per hour.

Senior kdb+ Engineer

Data Intellect

New York, NY • Hybrid

$114K - $157K/yr

Full-time

Re-posted 14 days ago

Job description

Company Description

Join the world’s largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance.

At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We’re a team of engineers, problem-solvers and collaborators who believe in pushing boundaries, not egos.

If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you.

Job Description

As a Senior kdb+ Engineer at [DI] you’ll be at the forefront of delivering high-performance, scalable solutions for some of the world’s most data-intensive financial institutions. You’ll:

  • Lead technical delivery on client projects, setting the standard for quality and performance.
  • Design and implement robust kdb+ architectures that handle billions of rows of time-series data.
  • Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code.
  • Mentor and guide junior and mid-level developers, fostering a culture of technical excellence.
  • Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications
  • Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies.
Qualifications

What You Bring

  • 5+ years of hands-on kdb+ development, with deep expertise in q and time-series data.
  • Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production.
  • Strong background in Unix/Linux environments and scripting.
  • Demonstrated technical leadership and decision-making in fast-paced projects.
  • Excellent communication skills to explain complex systems to both technical and non-technical stakeholders.
  • Experience in capital markets or investment banking, understanding of the domain and its demands.
  • A passion for clean, performant code and continuous improvement.

Bonus Points For:

  • Experience with AI tooling (Claude, Co-Pilot)
  • Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases.
  • Exposure to tick data, real-time analytics, electronic trading systems.
  • People management or team leadership experience.

Additional Information

Why Join Data Intellect?

  • Hybrid & flexible working – balance your time between home and our global offices.
  • Global opportunities – work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond.
  • Continuous learning – day one access to paid training, certifications and leadership development.
  • Clear progression pathways – biannual promotion cycles and monthly 1:1s to excel your career growth and development.
  • Healthcare & wellbeing – provider dependent on region.
  • Flexible, increasing holiday allowance – option to work bank holidays providing greater flexibility in holiday usage
  • Generous referral bonuses, exciting social events and so much more – we work hard and celebrate harder.

Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets. We build high-performance systems that power trading, risk and analytics for some of the world’s most demanding clients. Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms. We’re growing, fast!

Fair Employment & Equal Opportunities

We’re proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.

Ready to lead the next generation of high performance kdb+ solutions?

Challenge Accepted. Apply now.