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Urgently Hiring Kdb Q Developer Jobs (NOW HIRING)

JP Morgan Chase

Principal eSoftware Engineer-KDB

Manhattan, NY · On-site

$148K - $199K/yr

  • Medical

  • Retirement

Expert in one or more programming language(s) - KDB, Q language * Demonstrated experience designing ... Additional details about total compensation and benefits will be provided during the hiring process.

New

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 ...

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How much do urgently hiring kdb q developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for urgently hiring kdb q developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is the difference between Urgently Hiring Kdb Q Developer vs Data Analyst?

AspectUrgently Hiring Kdb Q DeveloperData Analyst
Required SkillsProficiency in Kdb+/Q language, database management, scriptingData visualization, SQL, Excel, statistical analysis
Work EnvironmentFinancial services, trading firms, real-time data processingBusiness intelligence, market research, reporting
CertificationsNone mandatory but preferred: Kdb+/Q certificationsData analysis or related certifications (e.g., CAP, Microsoft certifications)

Urgently Hiring Kdb Q Developers focus on real-time data management in finance, requiring specialized Kdb+/Q skills. Data Analysts handle data interpretation and reporting across various industries. While both roles involve data, their tools, environments, and expertise differ significantly.

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Urgently Hiring Kdb Q Developer jobs near you
Infographic showing various Urgently Hiring Kdb Q Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

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

ZnA Inc

New York, NY • On-site

$54 - $73.75/hr

Contractor

Posted 10 days ago

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