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Freelance Kdb Q Developer Jobs (NOW HIRING)

Data Intellect

kdb+ Engineer

New York, NY · On-site

If you're a kdb+ developer ready to deepen your skills, contribute to impactful projects and grow ... Solid understanding of q language and time-series data structures. * Experience working in Unix ...

Data Intellect

kdb+ Engineer

New York, NY · Hybrid

If you're a kdb+ developer ready to deepen your skills, contribute to impactful projects and grow ... Solid understanding of q language and time-series data structures. * Experience working in Unix ...

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How much do freelance kdb q developer jobs pay per hour?

As of Aug 7, 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 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 is a freelance kdb q developer?

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.

What are the key skills and qualifications needed to thrive as a freelance kdb q developer?

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.
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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 August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $102,264 per year, or $49.2 per hour.

SnowFlake Developer, migrating KDB data to Snowflake, SQL, Python, financial 8 Mths Cont in NYC

Zen & Art

Manhattan, NY • On-site

$54.25 - $74.50/hr

Other

Posted yesterday

New

Job description

JPC: 3584
Level 2 Role ( 5 to 8 yrs of total exp)
Location: NYC ( 3 days onsite Hybrid Role)
Role : SnowFlake Developer / SnowFlake Data Engineer migrating KDB data to Snowflake, SQL, Python, financial data, 8 Months Cont in NYC
,
Description:

2 Rounds of Interviews ( 1 Zoom, 1 On site)

Moving KDB data to Snowflake.

Data Management, Model, Access Controls, Review how we are moving the data into snowflake.

Liase with the business on how to do this.

GDM-Tech (Global Data Mart) is part of TEDRA (Trade Enrichment Data Reporting & Allocations) within Institutional Securities Technology (IST) Division. We are responsible for sourcing, maintaining, distributing, and reporting on the Firm's inventory, position, and reference data.

Supporting the Delta1 Structured Products business, our data sets underpin critical workflows across inventory management, prime brokerage, and firm-wide position reporting. As an authoritative source of key data sets, GDM-Tech sits at the forefront of database technology and is heavily involved in data engineering, data distribution, and analytics efforts.We are looking for an experienced general database developer to contribute to the support and development of a multi-terabyte inventory and position data platform serving the Delta1 Structured Products team globally.

The successful candidate will play a key part in building out a new Snowflake-based data platform, while also supporting and maintaining our existing KDB+ technology stack. A central objective of the role is to help migrate our current KDB+ dependencies onto Snowflake a greenfield effort that offers significant scope for design and architectural input.

Our team takes a best tool for the job approach, and the ideal candidate will bring strong interest and experience in cloud platforms and RDBMS technologies, including enterprise-scale, highly accessed transactional and time-series data systems.The tasks will include performance optimization, testing, database engineering, platform migration, version upgrades, and development and distribution on cloud platforms.

The person joining the team must be able to operate in a fast-paced Agile environment where time to market is a key requirement without compromising on the quality and resiliency of the platform.

Required skills

Knowledge (intermediate level) of development and performance optimization on major RDBMS technologies

Scripting knowledge (Python)Knowledge of Unix/Linux operating systems/ Version control

Excellent communication skills

Desired skills

- Data modelling concepts Knowledge of ETL products, Experience with Snowflake or other cloud data platforms

Exposure to KDB+/q (or a strong willingness to learn)Understanding of financial data domains inventory, securities lending/borrow, prime brokerage, or position dataAgile practicesOther personal skills: integrity & ownership, good team player, high degree of motivation to expand technical and business knowledge

Apply