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# Data Research Engineers

- **Company:** Citadel LLC
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Application Packaging, Cloud Computing, Cloud Engineering, Computer Engineering, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Raw Data, SQL Databases, Data Processing, Data Build Tool (dbt), Information Technology, Data Pipelines
- **Published:** June 9, 2026
- **Apply:** https://www.dice.com/job-detail/e8a676de-4b00-466f-9afd-0e5c7411ea17

## About the Role

Required:

 * Demonstrated experience driving meaningful business outcomes through data engineering
 * Prior ownership of a data project (or at least a large part of it)
 * Strong attention to detail
 * Good analytical and quantitative abilities
 * Demonstrated ability to quickly learn new technologies and skills
 * Experience with ETL dev

Preferred:

 * Experience with data manipulation and query design and optimization
 * Experience in time series forecasting and machine learning techniques
 * Strong data science skills
 * Strong coding skills: proficiency in Python, SQL DBs, Cloud, schedulers, containers, CI/CD, software packaging
 * Strong ability to communicate with other stakeholders (e.g., data vendors, QRs, etc.)
 * Data Build Tool (DBT)
 * Education: BS degree in Computer Science, Mathematics, or related Computer Engineering or Science curriculum

## Description

* Act as data owner of several datasets each with its own unique schema and delivery frequency
 * Partner with researchers to produce high-value datasets
 * Design, create, automate, and maintain custom data pipelines
 * Extract the raw data
 * Clean and normalize the data
 * Translate high-level market research concepts into scalable processes that further transform the data
 * Handle all edge cases
 * Develop high-performance schemas and queries
 * Setup "data checks" and alerts to determine when the data is "bad"'
 * Load the processed dataset to a format easily digested by quantitative researchers and models

 * Develop tooling to facilitate the development and monitoring of custom data pipelines
 * Setup analytical infrastructure to facilitate exploration and visualization of datasets
 * Large scale cloud development of applications as a service


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