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Kdb Q Developer Jobs (NOW HIRING)

Infosys Limited Digital

KDB+ Consultant

New York, NY · On-site

... programming • Knowledge on q-SQL and KDB specific joins. (asof/window) • Understanding of kdb+ database concepts including knowledge of how data is stored, managed, and queried within the kdb ...

Infosys

KDB+ Consultant

New York, NY · On-site

$82.49K - $116K/yr

Required Skill and Experience • Understanding Q language syntax, data structures, datatypes • Proficiency in array-oriented programming • Knowledge on q-SQL and KDB specific joins. (asof/window ...

Quanta Search

Trading Front End Engineer

Manhattan, NY · On-site

They are looking for a highly motivated, talented and responsible front-end development engineer ... Prior experience in KDB/Q is a plus Thank you for illuminating hiring with Quanta Search! www ...

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How much do kdb q developer jobs pay per hour?

As of May 30, 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.
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Kdb Q Developer jobs near you
Infographic showing various Kdb Q Developer job openings in the United States as of May 2026, with employment types broken down into 25% Full Time, and 75% Contract. Highlights an 100% In-person job distribution, with an average salary of $116,726 per year, or $56.1 per hour.

Quantitative Researcher/Developer, Algorithmic Trading Analytics

Quanta Search

Los Angeles, CA • On-site

Full-time

Posted 2 days ago

Job description

Our client, a leading Asset Management firm, is hiring for a Quantitative Researcher/Developer in Algorithmic Trading Analytics
Job Responsibilities (include, but not limited to the following):
  • Build backend services for capture, storage and analysis of various datasets required to measure transaction costs
  • Develop web front end for Trade Cost Analysis (TCA)
  • Develop statistical models and machine learning frameworks for evaluation of execution methods and algorithms
  • Research market impact and information transfer phenomena for various asset classes
  • Data modelling and development of systematic trading strategies

Candidate profile:
  • B.S., B.A., M.S., M.F.E or Ph.D. degree in technical field
  • Market Data Specialist, Market Microstructure
  • Familiarity with equity fundamental databases, Compustat, FactSet, Reuters WorldScope, RavenPack
  • Data Science, Data Analysis, Machine Learning, Neural Networks, Deep Learning
  • Ability to assess buy vs build tradeoffs and performance tradeoffs at all levels of the technology stack
  • Programming skills:
- Experience with kdb+/Q (required)
- Proficiency in at least one compiled language like Go/Rust/Scala/C++/Java (required)
- Proficiency in at least one scripting language like R/Python/Ruby/V8 (required)
- Experience with modern development stack (GitLab/Docker/Kubernetes/Rancher) (desirable)
Thank you for illuminating hiring with Quanta Search!
www.quantasearch.com

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