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Kdb Jobs (NOW HIRING)

Artius Solutions

Senior Data Engineer

New York, NY · On-site

$120K - $121K/mo

Develop scalable infrastructure using tools like KDB+, TimeSet, or Kronos. * Implement real-time and historical data ingestion and transformation workflows. * Integrate data systems with Python-based ...

Deutsche Bank

Vice President - {DB9805587}

New York, NY · On-site

$260K - $275K/yr

... KDB+ to deliver analytics tools and systems for fixed income securities trading applications within an investment bank; performing quantitative analysis of data sets to improve sales and trader ...

Seven Seven Software

Full Stack Java Developer

Jersey City, NJ · On-site

$54.75 - $70.75/hr

8 - 12 years of experience as Full Stack Java Developer Scripting - Python Database - Oracle, KDB (time series database) and AWS RDS Knowledge of Cloud Technologies like Spark SQL Preferably someone ...

Eliassen Group

Quant Developer

Jersey City, NJ · On-site +1

$80 - $90/hr

Design, develop, and optimize KDB+/q databases and analytics for high-volume market data. * Develop Python-based AI and quantitative models for research, prediction, classification, and signal ...

New

Eliassen Group

Quant Developer

Jersey City, NJ · On-site +1

$80 - $90/hr

Design, develop, and optimize KDB+/q databases and analytics for high-volume market data. * Develop Python-based AI and quantitative models for research, prediction, classification, and signal ...

New

IEX Group

Senior Data Infrastructure Engineer

New York, NY · On-site

$200K - $250K/yr

We are looking for a strong Senior KDB Developer to join our team and help us build new products that will better serve our core customers. This person will have the opportunity to play a key role in ...

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How much do kdb jobs pay per hour?

As of May 30, 2026, the average hourly pay for kdb in the United States is $58.59, according to ZipRecruiter salary data. Most workers in this role earn between $49.52 and $68.75 per hour, depending on experience, location, and employer.

What is a Kdb job?

A Kdb job typically involves working with Kdb+, a high-performance time-series database commonly used in finance for real-time data analysis and complex queries. Professionals in these roles develop, maintain, and optimize Kdb+ databases, write queries in the Q programming language, and work with large-scale financial datasets. They often collaborate with traders, quantitative analysts, and software engineers to improve data processing efficiency and support decision-making. Kdb roles are prevalent in investment banks, hedge funds, and financial institutions that require rapid data retrieval and analytics.

What are the key skills and qualifications needed to thrive in the Kdb position, and why are they important?

To thrive as a Kdb developer, you need a deep understanding of the q programming language, time-series data manipulation, and strong analytical abilities, typically supported by a degree in computer science or a related field. Familiarity with the Kdb+ database system, industry-standard development tools, and ideally certifications in finance or technology are highly valued. Attention to detail, problem-solving, and effective communication are essential soft skills for collaborating with technical and business teams. These competencies enable you to efficiently design, optimize, and maintain high-performance data solutions in fast-paced financial or trading environments.

What are typical day-to-day responsibilities for a Kdb developer?

As a Kdb developer, your daily tasks often include designing and developing data ingestion pipelines, implementing real-time analytics, and optimizing queries within the Kdb+ environment. You’ll collaborate closely with traders, data scientists, and systems engineers to ensure that data solutions meet business requirements and perform efficiently. Troubleshooting and performance tuning are frequent activities, as is writing and maintaining scalable q code. You may also be involved in developing dashboards or reports, deploying updates, and supporting users with data-related issues.
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Kdb jobs near you
Infographic showing various Kdb job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 91% Physical, 7% Hybrid, and 2% Remote job distribution, with an average salary of $121,875 per year, or $58.6 per hour.

Senior Data Engineer

Artius Solutions

New York, NY • On-site

$120K - $121K/mo

Full-time

Posted 23 days ago

Job description

Job Title: Senior Data Engineer
Location: USA – NY, SLC, TX, UT, Dallas, New York City (Onsite)

Job Summary:
We are seeking a Senior Data Engineer to design and develop scalable, high-performance data pipelines focused on time series data. The ideal candidate will have deep expertise in time series data platforms and strong proficiency in integrating data pipelines with machine learning workflows. This role involves collaboration with data scientists and ML engineers to ensure robust and efficient data systems that drive real-time and batch analytics.

Key Responsibilities:

  • Design, build, and optimize data pipelines to process large-scale time series data.

  • Develop scalable infrastructure using tools like KDB+, TimeSet, or Kronos.

  • Implement real-time and historical data ingestion and transformation workflows.

  • Integrate data systems with Python-based ML pipelines to support model training and inference.

  • Collaborate with cross-functional teams to ensure data availability, integrity, and performance.

  • Design data models and schemas tailored for time series data, including strategies for downsampling, indexing, and aggregation.

  • Monitor and fine-tune systems for reliability, scalability, and performance.

  • Implement best practices in data governance, lineage tracking, and system observability.

  • Mentor junior engineers in large-scale system architecture and distributed processing.

  • Work closely with product and infrastructure teams to align technical solutions with business objectives.

Requirements:

  • 5+ years of experience in data engineering, particularly in large-scale, high-throughput environments.

  • Proven experience with time series databases and storage solutions (e.g., KDB+, TimeSet, Kronos).

  • Strong background in building both streaming and batch data pipelines using tools like AWS Glue, Apache Kafka, Apache Flink, or Apache Spark.

  • Proficiency in Python and experience integrating with ML libraries such as pandas, NumPy, scikit-learn, and PyTorch.

  • Experience designing scalable, efficient data models and partitioning strategies for time series data.

  • Knowledge of distributed systems, parallel computing, and columnar data storage.

  • Familiarity with cloud-based data architectures (AWS, GCP, or Azure) and containerized environments.

  • Strong understanding of data quality, lineage, monitoring, and observability practices.

  • Excellent communication skills and the ability to work in a client-facing, collaborative environment.

Preferred Qualifications:

  • Experience with multiple time series systems (e.g., KDB+ and Kronos).

  • Contributions to open-source data infrastructure or time series projects.