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Freelance 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 freelance kdb q developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for freelance kdb q developer in the United States is $49.17, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $60.10 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Kdb Q Developer, and why are they important?

To thrive as a Freelance Kdb Q Developer, you need deep knowledge of the kdb+ database, proficiency in the q programming language, and experience with time-series data, ideally supported by a degree in computer science or a related field. Familiarity with tools like kdb+, q, and integration systems such as Python, Java, or cloud platforms is typically required, along with relevant certifications in database technologies. Strong problem-solving skills, effective communication, and the ability to work independently with clients make a developer stand out in this freelance role. These skills are crucial for building efficient, high-performance data solutions and maintaining client satisfaction in fast-paced, data-driven industries like finance.

What are some common challenges faced by freelance Kdb Q Developers when working with clients remotely?

Freelance Kdb Q Developers often encounter challenges such as integrating with existing data infrastructures, understanding legacy codebases, and aligning with the client’s internal development practices. Communication can also be a hurdle, especially when clarifying requirements or troubleshooting complex data issues across different time zones. To overcome these challenges, it’s important to establish clear documentation, maintain regular check-ins, and proactively seek feedback to ensure deliverables meet client expectations.

What are Freelance Kdb Q Developers?

Freelance Kdb Q Developers are independent professionals who specialize in utilizing the Kdb+ database and the q programming language to design, build, and maintain high-performance data solutions. They typically work on projects related to time-series data analysis, often for financial institutions like banks and trading firms. As freelancers, they are hired on a contract basis to develop custom analytics, optimize queries, and ensure the efficient handling of large data sets. Their expertise allows organizations to quickly access and analyze massive amounts of data in real time, improving decision-making and operational performance.
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Freelance Kdb Q Developer jobs near you
Infographic showing various Freelance Kdb Q Developer job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $102,264 per year, or $49.2 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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