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Kdb Q Jobs (NOW HIRING)

KDB+ Consultant

New York, NY · On-site

$134K - $174K/yr

Required Skill and Experience • Experience with KDB+/q programming and debugging skills, Q language syntax, data structures, datatypes • Experience with time series database concepts including ...

Advanced in one or more programming language(s) KDB, Q language * Proficiency in automation and continuous delivery methods. Advanced understanding of agile methodologies such as CI/CD, Application ...

Extensive experience with KDB+/Q, including tick architecture, CEP development, data simulation, and KDB+ database design. * Experience in low-latency development and optimizing queries for large ...

Extensive experience with KDB+/Q, including tick architecture, CEP development, data simulation, and KDB+ database design. * Experience in low-latency development and optimizing queries for large ...

... KDB+/q programming and debugging skills, Q language syntax, data structures, datatypes • Experience with time series database concepts including knowledge of how data is stored, managed, and ...

Quant Developer

Jersey City, NJ · On-site +1

$80 - $90/hr

Design, develop, and optimize KDB+/q databases and analytics for high-volume market data. * Develop Python-based AI and quantitative models for research, prediction, classification, and signal ...

Quant Developer

Jersey City, NJ · On-site +1

$80 - $90/hr

Design, develop, and optimize KDB+/q databases and analytics for high-volume market data. * Develop Python-based AI and quantitative models for research, prediction, classification, and signal ...

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Kdb Q information

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How much do kdb q jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for kdb q in the United States is $58.59, according to ZipRecruiter salary data. Most workers in this role earn between $49.52 and $68.75 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Kdb Q position, and why are they important?

To thrive as a Kdb Q developer, you need strong expertise in the q programming language, time-series data analysis, and a solid background in computer science or mathematics. Familiarity with the kdb+ database, version control systems, and financial market data is typically required, and certifications in related technologies are a plus. Attention to detail, problem-solving abilities, effective communication, and the ability to work under pressure are crucial soft skills. These competencies ensure that Kdb Q professionals can deliver efficient, reliable solutions in fast-paced environments such as financial services and trading firms.

What jobs pay $2000 a day?

High-paying jobs that can earn $2000 or more per day often include roles such as senior financial traders, specialized consultants, senior software engineers, and certain executive positions. These roles typically require advanced skills, extensive experience, and often involve high-pressure environments or specialized knowledge in finance, technology, or management.

What is a Kdb Q job?

A Kdb Q job involves working with the Kdb+ time-series database and the Q programming language to handle large-scale data processing, analytics, and real-time querying. These roles are common in finance, particularly in trading, risk management, and market data analysis. Responsibilities may include designing efficient database structures, writing optimized Q code, and integrating Kdb+ with other systems. Strong knowledge of data structures, algorithms, and financial markets is often beneficial for success in this role.

Is KDB in demand?

KDB+ developers are in demand in industries such as finance and trading, where high-performance time-series data processing is essential. Skills in q programming, database management, and real-time analytics increase employability, especially in firms requiring fast data retrieval and analysis. The role often requires familiarity with Linux environments and strong quantitative skills.

What is KDB +/Q developer?

A KDB +/Q developer is a professional who specializes in developing, maintaining, and optimizing applications using the KDB+ database and the Q programming language. They typically work with time-series data, financial markets, and high-performance data analysis, requiring strong programming skills and knowledge of database architecture. These developers often collaborate with quantitative analysts and traders in finance or data-intensive industries.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or quantitative analysis can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working in high-paying industries like finance or technology. Compensation often includes base salary, bonuses, and stock options, particularly at senior or executive levels.

What are some typical challenges faced by Kdb Q developers in a financial firm?

Kdb Q developers in financial firms often work with massive volumes of time-sensitive market data, requiring highly optimized and efficient code to ensure real-time analysis and reporting. They may face challenges such as maintaining system performance during peak trading hours, debugging complex queries, and integrating with other financial platforms or systems. Collaboration with traders, quantitative analysts, and infrastructure teams is common, making strong communication and teamwork essential. The role also involves continuously updating skills to keep pace with evolving data requirements and technology advancements. Successfully navigating these challenges enables Kdb Q developers to deliver robust and high-performance data solutions that directly support business goals.

What cities are hiring for Kdb Q jobs? Cities with the most Kdb Q job openings:
What are the most commonly searched types of Kdb Q jobs? The most popular types of Kdb Q jobs are:
What states have the most Kdb Q jobs? States with the most job openings for Kdb Q jobs include:
Infographic showing various Kdb Q job openings in the United States as of June 2026, with employment types broken down into 8% As Needed, 8% Full Time, 76% Part Time, and 8% Temporary. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $121,875 per year, or $58.6 per hour.
KDB+ Consultant

KDB+ Consultant

Infosys

New York, NY • On-site

$134K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Infosys rating

7.5

Company rating: 7.5 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

96th of 204 rated it services


Job description

Job Description
In the assigned Job Role of Domain Consultant 3, your Area Of Responsibility will be as below:
• Perform business analysis projects using advanced techniques (e.g., predictive analytics, scenario modelling) to identify strategic opportunities within the domain, influencing long-term decisions and value chain optimization
• Perform detailed evaluations of IT solutions, leveraging domain expertise to assess effectiveness and alignment with client goals, guiding strategic technology decisions
• Create documentation for systems, ensuring precision and thoroughness, while leading efforts to articulate sophisticated technical concepts for diverse stakeholders
• Perform specialized research on third-party products, providing in-depth insights on features, performance, and integration capabilities to ensure alignment with client needs and industry standards
• Create solution architectures and develop comprehensive architectural diagrams, ensuring scalability, resilience, and integration with existing infrastructure.
• Run the technical aspects of implementation by applying domain knowledge and ensuring scalable optimal system performance. Design and execute maintenance strategies to ensure long-term system reliability
Your contribution to the team:
• Expertise in of IT solutions and solution architecture for specific sectors
• Proficiency in evaluating IT solutions and aligning them with business enhancement goals
• A focus on innovation and adaptability for integrating new technologies
• Proactive problem-solving to streamline complex requirements.
• Skilled in research, innovation adoption, and designing scalable architectures, aligned with industry standards and best practices
EEO/About Us
Benefits
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
Required Skill and Experience
• Experience with KDB+/q programming and debugging skills, Q language syntax, data structures, datatypes
• Experience with time series database concepts including knowledge of how data is stored, managed, and queried within the kdb+ database
• Experience real-time market data feeds and data processing techniques
Preferred Skill and Experience
• Experience with Market Data Systems like ticks, trades, orders, Linux/bash proficiency for managing KDB+ environments, Git/Bitbucket, TorQ framework
• Experience in financial markets, including Fixed Income, FX, and Equities.
Additional Required Qualifications
• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Overview
The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel.

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