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Full Time Kdb Q Developer Jobs (NOW HIRING)

Vice President, Strats

New York, NY · On-site

$225K - $250K/yr

Analyze data and create reports to assist business on decision making using Python and KDB/q. What you'll bring to the role: -Requires a Bachelor's in Engineering (any), Mathematics, Finance or a ...

Analyze data and create reports to assist business on decision making using Python and KDB/q. What you'll bring to the role: -Requires a Bachelor's in Engineering (any), Mathematics, Finance or a ...

KDB+/Q Design, maintain, and improve the KDB+/Q platforms that hold our real-time and historical ... Improving developer workflows around market data testing and troubleshooting * Reducing repeated ...

Kdb+/q proficiency: experience handling low-latency time-series data, designing queries, building efficient data pipelines (data engineering), using attributes, and optimizing data storage/retrieval ...

Software Engineer, Data

New York, NY · On-site

$120K - $150K/yr

Experience with KDB+/Q in a production environment (or openness to learn) * Experience in Python is beneficial * Understanding of financial markets or trading systems experience * Exposure to working ...

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Full Time Kdb Q Developer information

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$11K

$88.2K

$135.5K

How much do full time kdb q developer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for full time kdb q developer in the United States is $88,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $120,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Full Time Kdb Q Developer, you need strong programming skills in q/kdb+, a background in computer science or a related field, and experience with large-scale data systems. Familiarity with financial market data, version control systems like Git, and possibly certifications in database technologies are typically expected. Analytical thinking, problem-solving ability, and effective communication help you collaborate with stakeholders and efficiently address complex data challenges. These skills and qualifications are crucial for developing robust, high-performance data solutions in fast-paced trading environments.

What are some common challenges Full Time Kdb Q Developers face when working on large-scale data systems?

Full Time Kdb Q Developers often encounter challenges related to managing and optimizing high-volume, high-frequency data streams, especially in financial environments. Ensuring low latency and high reliability in real-time analytics requires deep knowledge of database architecture and efficient Q programming. Collaboration with quantitative analysts, data engineers, and traders is frequent, and the ability to quickly adapt to evolving business requirements is essential. Additionally, maintaining and scaling existing codebases while integrating new features can be demanding but offers valuable learning and growth opportunities.

What is a Full Time Kdb Q Developer?

A Full Time Kdb Q Developer is a software professional who specializes in using the Kdb+ database and its built-in programming language, q. They are responsible for designing, developing, and maintaining high-performance time-series databases, often used in financial services for handling large volumes of real-time and historical data. Their daily tasks include writing efficient q code, optimizing database performance, and working closely with data analysts or traders to ensure data systems meet business needs. This role typically requires strong analytical skills and experience with large-scale data processing.
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What cities are hiring for Full Time Kdb Q Developer jobs? Cities with the most Full Time Kdb Q Developer job openings:
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Infographic showing various Full Time Kdb Q Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $88,166 per year, or $42.4 per hour.
Associate Product Manager

Full-time

Re-posted 13 days ago


Job description

We're Hiring: Associate Product Manager - Market Data Curation & Quality
About OneMarketData

OneMarketData is the leading provider of tick-level market data management and analytics for capital markets.
Our OneTick platform (now combined with KX's world-class kdb+ time series engine) is trusted by tier-1 banks, hedge funds, and exchanges globally to capture, normalize, store and analyze billions of market events every day.

We are building the definitive capital markets data intelligence platform, and data quality is at the heart of that mission.

Prior to advancing with your application, we kindly request that you review theCONSENT NOTICE FOR HR AND RECRUITING provided by OneMarketData. Your attention to this matter is greatly appreciated.


The Opportunity

We're looking for an Associate Product Manager to help drive the quality, completeness, and evolution of our market data products.


In this role, you'll operate at the intersection of financial markets, data engineering, and product management. You'll help define how data quality is measured, monitor quality across our datasets, investigate issues at their source, and contribute to the development of our TrueTick data quality product.


As part of the Product team, you'll work closely with Engineering, Data Operations, and client-facing teams to ensure our data meets the highest standards of accuracy, consistency, and reliability.


This is a high-impact role for someone who enjoys solving complex data problems, working with large-scale market datasets, and shaping products used by some of the world's leading financial institutions.


What You Will Do
Data Quality Standards & Measurement

  • Define and own the standards for data quality and completeness across all dimensions: accuracy, timeliness, coverage, consistency, and completeness
  • Develop and publish external quality metrics and industry benchmarks that clients and prospects can evaluate and trust
  • Build and maintain the quality measurement framework that underpins the TrueTick product and broader data quality reporting

Daily Quality Operations

  • Monitor daily quality metrics across all covered exchanges, asset classes, and data types
  • Identify anomalies, gaps, and quality failures as they emerge - triaging by severity and client impact
  • Partner with the Data Operations team to diagnose root causes and drive timely resolution of data issues
  • Leverage AI and machine learning techniques to surface patterns, accelerate root cause analysis, and identify systemic quality trends that manual review would miss

TrueTick Product Management

  • Gather requirements from clients, internal stakeholders, and market feedback to define and prioritize product enhancements with Product Lead
  • Write clear product specifications and work with Engineering to deliver features on time and to standard for Product Lead
  • Manage the full product lifecycle from ideation through release, including documentation and client communication


What You Will Bring

Required

  • 1-3 years of hands-on experience working with exchange-traded time series market data - equities, futures, options, or fixed income
  • Proficiency in SQL for querying, analyzing, and investigating large time series datasets
  • Proficiency in Python for data analysis, investigation, automation, or tooling.
  • Familiarity with AI tools including Claude or similar large language models for analysis, automation, or root cause investigation
  • Strong analytical and problem-solving skills - you enjoy finding the needle in the haystack
  • Clear written and verbal communication - able to explain complex data issues to both technical and non-technical audiences
  • Structured, detail-oriented working style with the ability to manage multiple concurrent priorities

Preferred

  • Experience with OneTick, kdb+/Q or similar time series database and analytics platforms
  • Exposure to data quality frameworks, observability tooling, or data governance practices
  • Prior product management experience in a financial data or fintech environment
  • Understanding of exchange data distribution, consolidated tape, and market data operations
  • Experience working with or alongside Data Operations or Market Data teams at a bank, exchange, or data vendor


Skills at a Glance

  • Exchange Time Series Data
  • Product Roadmap Ownership
  • SQL
  • Python
  • TrueTick / OneTick
  • AI / Claude
  • kdb+ / Q


Why Join OneMarketData

Mission that matters

You will own the quality of data that powers trading decisions at some of the world's most sophisticated financial institutions.


Platform at an inflection point

The merger of OneMarketData and KX creates a category-defining capital markets data intelligence platform. Join at the moment it is being built.


Genuine ownership

This is not a supporting role. You will own a product, set standards, and have your fingerprints on the quality benchmarks the industry uses.

Team of domain experts

Work alongside world-class engineers, quants, and market data specialists who have built and run some of the most demanding data infrastructure in the industry.

What We Offer


  • Unlimited vacation days
  • Private healthcare
  • Performance-based growth
  • Opportunity to work on high-impact projects forregulators,central banksandhedge funds
  • Meaningful work with challenging tasks and real impact


Equal Employment Opportunity

As an Equal Employment Opportunity (EEO) Employer, OneMarketData prohibits discriminatory employment actions against and treatment of its employees and applicants for employment based on actual or perceived race or color, size (including bone structure, body size, height, shape, and weight), religion or creed, alienage or citizenship status, sex (including pregnancy), national origin, age, sexual orientation, gender identity (one's internal deeply-held sense of one's gender which may be the same or different from one's sex assigned at birth); gender expression (the representation of gender as expressed through, for example, one's name, choice of pronouns, clothing, haircut, behavior, voice, or body characteristics; gender expression may not conform to traditional gender-based stereotypes assigned to specific gender identities), disability, marital status, relationship and family structure (including domestic partnerships, polyamorous families and individuals, chosen family, platonic co-parents, and multigenerational families), genetic information or predisposing genetic characteristics, military status, domestic violence victim status, arrest or pre-employment conviction record, credit history, unemployment status, caregiver status, salary history, or any other characteristic protected by law.


The position will require a background check, signed NDA, signed contract, and signed GDPR processor passthrough agreement (since we act as a data processor under GDPR). Salaries will be commensurate with experience, education, skillset, and local norms. Kindly note that only shortlisted candidates will be contacted for an interview.