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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 kdb q developer jobs pay per hour?

As of Aug 7, 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?

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 as a kdb q developer?

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 August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $116,726 per year, or $56.1 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