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# Data Engineer

- **Company:** Jump Trading
- **Location:** New York, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Acceptance Test-Driven Development, Unit Testing, Linux, File Systems, High-Frequency Trading, Python (Programming Language), Reference Data, Software Engineering, Data Storage Technologies, Core Data
- **Published:** September 4, 2026
- **Apply:** https://www.dice.com/job-detail/c17609ff-e898-4b29-a3aa-b651c561fa9d

## About the Role

* 7+ years of software engineering experience, with strong proficiency in Python
 * 5+ years working on reference data or security master systems in an engineering capacity
 * Familiarity with common reference data used in security masters (e.g., identifiers, corporate actions, exchange/venue and calendar data)
 * Strong understanding of fundamental datasets as well as market datasets, including index and exchange data
 * Understanding data modeling in modern quant/prop shops
 * Strong unit-testing / test-driven coding style
 * Experience working with various data storage formats, filesystems, and event queues preferred
 * Hands-on experience working within a Linux environment
 * Willingness to diversify and master other technical skills on the job
 * Excellent written and verbal communication, analytical, and problem-solving skills
 * Experience in high-frequency trading environments or similar proprietary trading firms is a strong plus

## Description

The ideal candidate will be able to dig into the technical details and work with end-users to understand their needs and implement streamlined solutions to deliver results. We are looking for individuals who are instinctively curious self-starters, demonstrating the ability to independently drive tasks and projects to completion in a team environment.

 * Working with a variety of datasets, provide a scalable, centralized, validated representation of data for consumers to utilize.
 * Review and understand various datasets leveraging vendor documentation, liaising with external vendors as needed to better understand data.
 * Anticipate data behavior, based on analysis and understood vendor and market conventions, and implement appropriate solutions and controls to identify and resolve issues during daily processing.
 * Own and evolve the firm's instrument and security master, ensuring accurate, well-modeled reference data across asset classes.
 * Design and maintain data models for core reference, fundamental, and market datasets (including index and exchange data)
 * Partner with quantitative researchers and traders to deliver core data in forms optimized for research and trading workflows.
 * Provide technical leadership and mentorship, setting standards for data quality, testing, and system design across the Core Data team.


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