Job Description
ASRC Federal Technology Solutions, LLC is looking for a cleared Data Engineer to support our contract in El Paso, TX. Responsibilities include coding, data wrangling, visualization, and presenting historical and future data.
The selected candidate's responsibilities will include the following :
- Coding, data wrangling, data visualization, and presentation of historical and projected future data in a Command and Control (C2) environment
- Develop and maintain data driven software solutions to support business needs
- Develop, test, and implement artificial intelligence (AI) / machine learning (ML) models / tools to improve business processes
- Stay up-to-date with the latest industry trend and advances in AI / ML technologies to identify potential technological resources to develop, maintain, and enhance efficient data systems
- Support implementation, testing, and monitoring for data processing pipelines and AI / ML learning products
- Collaborate with cross-functional teams to identify business needs and provide technical solutions
- Analyze and interpret data to extract meaningful insights using C2 and AI / ML tools
- Ensure data quality and integrity throughout the development process and into execution
Requirements
Qualified candidates must meet the following requirements :
This is an onsite intelligence subject matter expert position located in El Paso, TXActive DOD Secret security clearance requiredBachelor's or Master's degree in Computer Science or related field5+ years experience with software development2 years experience with developing and implementing AI models using machine learning softwareFamiliarity with Palantir software, including Palantir Gotham, Palantir Foundry, and Palantir MetropolisStrong knowledge of programming languages such as Java, Python, and C++Proven experience in Palantir software development and Artificial IntelligenceExperience designing and implementing ML infrastructure to train and deploy large language modelsKnowledge of Agile software development using ScrumFamiliarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical toolsProficiency with any of the major deep learning frameworks.