Senior kdb+ Engineer

Updated October 25, 2026

Pay not postedNew York, NYHybridSenior4mo ago

Senior kdb+ engineer role at a specialist consultancy, leading technical delivery of high-performance time-series systems for global financial institutions.

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View posting at Data Intellect

At a glance

Posted base pay

Not posted

Median $190K

Typical senior FDE payMiddle 50% of 1,789 postings$160K–$220K

The work

Builds what the customer runs

Balance

Mostly building
Mixed
Mostly pre-sales or support

Project stages

Pre-sales (not covered)
Proof of concept (not covered)
Implementation
Operations

Coding: Writes production code
Builds for: External customers
Level: Senior
Role: Technical lead

What they ask for

Experience

5+ yearshands-on kdb+ development

Tools

kdb+
q
Unix/Linux
Python
AWS
GCP
Azure
Claude
Co-Pilot

Less common in FDE jobs

Company size: About 201–1,000 people19%
Company stage: Later private32%
Hybrid35%
Individual contributor or manager: Technical lead47%

Share of US FDE postings that state each fact.

What you’ll do

Lead technical delivery on client projects, setting the standard for quality and performance.
Design and implement robust kdb+ architectures that handle billions of rows of time-series data.
Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code.
Mentor and guide junior and mid-level developers, fostering a culture of technical excellence.

What you’ll bring

5+ years of hands-on kdb+ development, with deep expertise in q and time-series data.
Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production.
Strong background in Unix/Linux environments and scripting.
Demonstrated technical leadership and decision-making in fast-paced projects.

About Data Intellect

Belfast-based specialist consultancy (formerly AquaQ Analytics) building high-performance kdb+/q time-series systems for trading, risk and trade surveillance at global financial institutions.

Private Late · 200–500 people

View posting at Data Intellect