KDB Developer (Real Time Analytics)

New York, NY, United States

Live, first seen by us 83 days ago

Pay: $185,000–225,000/yearAnnual period assumed — pay source
A combination of kdb engineering, real-time systems, and advanced analytics development Primary Location Full Time Salary Range of $185,000 - $225,000.
Read the full posting
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Design and develop low-latency kdb+/q systems for real-time market and order data
Build and optimize streaming analytics pipelines for intraday monitoring
Architect kdb infrastructure including tickerplant, RDB and HDB
Develop and automate data quality checks and monitoring and alerting
Develop and maintain API-driven data services for downstream consumers

From the employer’s posting

Design and develop low-latency kdb+/q systems to ingest, process, and analyze real-time market data, ticker data, and order/execution flows

Build and optimize streaming analytics pipelines to support intraday monitoring and analytics use cases

Architect and implement scalable kdb infrastructure (tickerplant, RDB, HDB) supporting enterprise data needs

Develop and automate data quality checks across:

Develop and maintain API-driven data services for downstream consumers

What you’ll bring

All qualifications

Core experience

7+ years of experience working with large-scale financial datasets, including:
7+ years of hands-on Kdb+/Q experience, including real-time data systems
Ability to work effectively in a fast-paced, collaborative environment
Strong experience working in Linux/Unix environments

Preferred experience

Experience in electronic trading or algorithmic trading environments
Experience implementing authentication and entitlement frameworks
Strong ownership mindset and ability to deliver end-to-end solutions
Ownership of high-impact data infrastructure and platforms

Qualification wording

7+ years of experience working with large-scale financial datasets, including:

7+ years of hands-on Kdb+/Q experience, including real-time data systems

Ability to work effectively in a fast-paced, collaborative environment

Strong experience working in Linux/Unix environments

Experience in electronic trading or algorithmic trading environments

Experience implementing authentication and entitlement frameworks

Strong ownership mindset and ability to deliver end-to-end solutions

Ownership of high-impact data infrastructure and platforms

Apply at Jefferies

Posting record

Report an error

Status in our records: Live
First seen by us: Aug 13, 202683 days ago
Recorded sightings: 184
Last seen by us: Nov 4, 2026
Employer says posted: Jul 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$185K–$225K against $127K–$190K, the middle half of what similar US postings state.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 83

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Jefferies is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Java
Python
AWS

Where the posting names them

- low-latency system design principles - Working knowledge of Python or Java for integration and tooling - Experience implementing authentication and entitlement frameworks

- Experience implementing authentication and entitlement frameworks - Exposure to cloud platforms (e.g., AWS) - Experience with Agile development methodologies

Upload resume Add LinkedIn

Your next step

Complete your application on hdid.fa.us2.oraclecloud.com. The employer’s form will show what is required.

Applying through Oracle Recruiting

Applying starts by asking for your email address.
Each employer sets which files it accepts, so read the note beside the upload field.

Already applied? Track this application

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Overview

The Equities Data & Analytics Team is seeking an experienced Kdb+/Q Engineer to design, build, and enhance real-time analytics platforms supporting electronic trading and market data workflows.

This role focuses on developing and maintaining low-latency data infrastructure, processing real-time ticker data alongside large-scale historical datasets, and delivering high-performance analytics solutions used by trading, quantitative, and risk teams.

The successful candidate will operate in a fast-paced environment, partnering closely with traders, quants, developers, QA, and production support teams to create scalable, reliable, and secure data systems.

Key Responsibilities

Real-Time Data & Analytics Engineering

Design and develop low-latency kdb+/q systems to ingest, process, and analyze real-time market data, ticker data, and order/execution flows
Build and optimize streaming analytics pipelines to support intraday monitoring and analytics use cases
Develop efficient time-series data models and query frameworks for both real-time and historical datasets
Enhance system performance for high-throughput, low-latency analytics workloads

Platform Development & Architecture

Architect and implement scalable kdb infrastructure (tickerplant, RDB, HDB) supporting enterprise data needs
Develop and maintain API-driven data services for downstream consumers, including trading and analytics applications
Build reusable, library-grade components to standardize data access, transformation, and analytics functionality
Implement secure access controls and authentication layers for data platform usage

Data Quality, Monitoring & Controls

Develop and automate data quality checks across:
- real-time market data
- transactional and execution data
- reference datasets
Build monitoring and alerting frameworks to track:
- latency
- data completeness
- system performance and health
Partner with production support teams to troubleshoot real-time data issues and anomalies

Collaboration & Delivery

Collaborate with traders, quants, and engineering teams to translate business requirements into scalable technical solutions
Contribute across the full software development lifecycle (design, development, testing, deployment, and optimization)
Produce clear and comprehensive technical documentation and system designs
Ensure adherence to best coding practices and industry standards

Required Qualifications

7+ years of experience working with large-scale financial datasets, including:
- real-time market data
- order/execution data
- positions or time-series data
7+ years of hands-on Kdb+/Q experience, including real-time data systems
Strong experience working in Linux/Unix environments
Solid understanding of:
- time-series databases and architectures
- real-time data streaming and processing
Strong analytical, problem-solving, and communication skills
Ability to work effectively in a fast-paced, collaborative environment

Preferred Qualifications

Experience in electronic trading or algorithmic trading environments
Familiarity with:
- market microstructure and trading workflows
- low-latency system design principles
Working knowledge of Python or Java for integration and tooling
Experience implementing authentication and entitlement frameworks
Exposure to cloud platforms (e.g., AWS)
Experience with Agile development methodologies

Key Attributes

Strong ownership mindset and ability to deliver end-to-end solutions
Ability to think critically and propose innovative ideas
Proven track record of delivering high-quality systems in production environments
Collaborative team player with strong communication skills

What This Role Offers

Opportunity to work on mission-critical, real-time analytics systems
Direct exposure to front-office trading environments and workflows
Ownership of high-impact data infrastructure and platforms
A combination of kdb engineering, real-time systems, and advanced analytics development

Primary Location Full Time Salary Range of $185,000 - $225,000.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

A combination of kdb engineering, real-time systems, and advanced analytics development Primary Location Full Time Salary Range of $185,000 - $225,000.

Location & working pattern