

Senior Lead Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Lead Developer in Dallas, TX, lasting 6+ months, offering competitive pay. Key skills include KDB+/q proficiency, time-series data processing, and Python familiarity. Experience in trading or financial services is essential, along with a relevant degree.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date discovered
September 25, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Data Processing #Programming #Code Reviews #Data Ingestion #Mathematics #Databases #Deployment #Computer Science #Scala #Monitoring #Python
Role description
Role: KDB Lead Developer
Location: Dallas, TX
Duration: 6+ Months
Job description:
• Lead the architecture and development of KDB+/q-based systems for real-time and historical data processing.
• Design, develop, and maintain KDB+/q applications for real-time and historical data ingestion, analytics, and processing
• Build and optimize time-series databases that support trading, risk, and research systems
• Create data loaders, APIs, and tools to support quantitative researchers, traders, and portfolio managers
• Build or maintain HMI trading infrastructure, including simulation or back-testing platforms
• Tune system performance, troubleshoot issues, and ensure reliability and scalability
• Collaborate with stakeholders—traders, analysts, quants, and other developers—to translate business needs into technical solutions
• Participate in peer code reviews, contribute to architecture discussions, and facilitate knowledge transfer
• Support production deployments, including testing, monitoring, and system health maintenance.
Candidate Profile / Required Qualifications:
• Proficiency in KDB+ and the q programming language—ideally with 2–5+ years of hands-on experience in a trading, quant analytics, or financial services environment
• Strong understanding of time-series data structures, real-time data processing, and tick-level data handling
• Adept at performance tuning, query optimization, and building scalable systems
• Familiarity with Python or other languages for integration or supporting tooling (commonly used alongside KDB+)
• Excellent communication skills and ability to work in cross-functional teams, including quantitative researchers and technology groups
• A degree in Computer Science, Engineering, Mathematics, or related field is often preferred
Bonus: Experience with equities, high-frequency trading, simulation frameworks, or investment banking/hedge fund environments?
Role: KDB Lead Developer
Location: Dallas, TX
Duration: 6+ Months
Job description:
• Lead the architecture and development of KDB+/q-based systems for real-time and historical data processing.
• Design, develop, and maintain KDB+/q applications for real-time and historical data ingestion, analytics, and processing
• Build and optimize time-series databases that support trading, risk, and research systems
• Create data loaders, APIs, and tools to support quantitative researchers, traders, and portfolio managers
• Build or maintain HMI trading infrastructure, including simulation or back-testing platforms
• Tune system performance, troubleshoot issues, and ensure reliability and scalability
• Collaborate with stakeholders—traders, analysts, quants, and other developers—to translate business needs into technical solutions
• Participate in peer code reviews, contribute to architecture discussions, and facilitate knowledge transfer
• Support production deployments, including testing, monitoring, and system health maintenance.
Candidate Profile / Required Qualifications:
• Proficiency in KDB+ and the q programming language—ideally with 2–5+ years of hands-on experience in a trading, quant analytics, or financial services environment
• Strong understanding of time-series data structures, real-time data processing, and tick-level data handling
• Adept at performance tuning, query optimization, and building scalable systems
• Familiarity with Python or other languages for integration or supporting tooling (commonly used alongside KDB+)
• Excellent communication skills and ability to work in cross-functional teams, including quantitative researchers and technology groups
• A degree in Computer Science, Engineering, Mathematics, or related field is often preferred
Bonus: Experience with equities, high-frequency trading, simulation frameworks, or investment banking/hedge fund environments?