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# Remote Data Engineer for AI Model Development

- **Company:** Peraton Inc
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $62,400.0 - $208,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Computer Programming, Information Engineering, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Software Debugging, Python (Programming Language), Operational Databases, Scripting
- **Published:** July 3, 2026
- **Apply:** https://www.careerjet.com/job/register/us90743e179d0229ce9418346b6b3fe339

## About the Role

* Expert-level proficiency in Python programming.
 * Extensive hands-on experience building and maintaining ETL pipelines and data workflows.
 * Proven ability to work independently in a fully remote environment.
 * Exceptional written and verbal communication skills, with a strong focus on clarity and collaboration.
 * Strong analytical and problem-solving mindset with acute attention to detail.
 * Demonstrated expertise in debugging and optimizing large-scale data systems.
 * Solid understanding of data modeling, data warehousing concepts, and best practices in data engineering.

Preferred Qualifications:

 * Experience within global, distributed teams and working directly with customers.
 * Exposure to additional programming or scripting languages and modern data stack tools.
 * Background in supporting highly regulated or data-centric industries., Open to candidates with the required skills and experience, able to work independently in a remote setting.

## Description

As a Data Engineer, you will be instrumental in designing and optimizing robust ETL pipelines and data workflows. This expert-level, remote position is ideal for professionals who excel in fast-paced environments and are dedicated to delivering scalable data solutions using Python. Key Responsibilities:

 * Design, develop, and maintain scalable ETL processes to ensure smooth data integration and transformation.
 * Collaborate closely with cross-functional teams to analyze data needs and implement tailored solutions.
 * Optimize existing workflows for performance, reliability, and scalability.
 * Monitor, troubleshoot, and resolve issues in production data pipelines to uphold data integrity.
 * Write clean, well-documented Python code adhering to industry standards and best practices.
 * Champion data quality and implement validation mechanisms throughout data processes.
 * Communicate complex technical concepts to both technical and non-technical stakeholders, prioritizing clear written and verbal interactions.


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