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Manager Kdb Q Developer Jobs (NOW HIRING)

SOHO Square Solutions

Snowflake Developer

Manhattan, NY · On-site

Knowledge of SQL, database engineering, and data management concepts. * Understanding of data modeling and ETL processes. * Exposure to KDB+/q or a strong willingness to learn. * Experience working ...

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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 ... Supporting project delivery alongside Project Managers and Senior Engineers. * Working as part of a ...

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

As of Aug 7, 2026, the average hourly pay for manager 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.
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Manager Kdb Q Developer jobs near you
Infographic showing various Manager Kdb Q Developer job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

Snowflake Developer

SOHO Square Solutions

Manhattan, NY • On-site

Other

Posted yesterday

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Job description

Job Description:

Job Title:             Snowflake Developer

Location :            New York, NY (Hybrid)

Type:                    Contract (C2C/W2/1099)

Interview:           2 Rounds (1st round Virtual, and 2nd round Onsite/In-Person)

Job Overview

Our client is seeking an experienced Database Developer to support the migration of a large-scale KDB+ data platform to Snowflake. This role involves designing, developing, and optimizing a new Snowflake-based data platform while supporting the existing KDB+ environment. The ideal candidate will collaborate closely with business stakeholders, contribute to data architecture and platform migration, and help build scalable, high-performance data solutions supporting critical financial data workflows.

Responsibilities

  • Lead the migration of data and applications from KDB+ to Snowflake.
  • Design, develop, and optimize scalable database solutions for large-scale data platforms.
  • Review and enhance data management processes, data models, and access controls.
  • Collaborate with business stakeholders to understand requirements and define migration strategies.
  • Support and maintain the existing KDB+ platform during the migration process.
  • Develop and optimize data engineering solutions on Snowflake and other cloud platforms.
  • Perform database performance tuning, testing, version upgrades, and platform enhancements.
  • Develop Python scripts for automation and data processing tasks.
  • Ensure high availability, performance, and resiliency of enterprise data platforms.
  • Participate in Agile development activities and deliver high-quality solutions within project timelines.

Required Skills & Qualifications

  • Experience with Snowflake or other cloud-based data platforms.
  • Strong knowledge of RDBMS technologies and database performance optimization.
  • Experience with Python scripting and development.
  • Familiarity with Unix/Linux operating systems.
  • Knowledge of SQL, database engineering, and data management concepts.
  • Understanding of data modeling and ETL processes.
  • Exposure to KDB+/q or a strong willingness to learn.
  • Experience working with large-scale transactional or time-series data platforms is preferred.
  • Understanding of financial data domains such as inventory, position data, securities lending, or prime brokerage is a plus.
  • Experience working in Agile development environments.
  • Strong communication, problem-solving, stakeholder management, and collaboration skills.
  • High level of ownership, accountability, and eagerness to learn new technologies.

Apply