About the Organization
Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.
Redhorse Corporation is building a cross-functional team to support the United States Central Command (USCENTCOM) Directorate of Logistics (CCJ4) and help to accelerate the delivery of AI-enabled capabilities and to synchronize AI activities in order to expand customer advantages. This effort supports the Joint Logistics Enterprise in support of USCENTCOM missions in order to promote cooperation among nations, respond to crisis, deter and defeat trans-regional aggression, while support the development of resilient logistics and engineering capabilities of our partners. The current Joint Logistics Common Operating Picture (JLOGCOP) is comprised of dozens of data feeds, both automated and manual, from across DoD. This effort is a custom build of artificial intelligence/machine learning (AI/ML) capabilities into the JLOGCOP in order to leverage the data, enhance decision making, and increase the speed of planning.
Position Description
Redhorse Corporation is currently seeking a Data Engineer to join our team. The place of performance for this work is at MacDill AFB, near Tampa, FL, with the possibility of up to 10% travel.
Primary Duties and Responsibilities for this position include:
Automation and Continuous Integration:
Set up automation tools to handle repetitive tasks such as data extraction, transformation, model training, etc.
Establish continuous integration (CI) pipelines to automatically test and deploy code.
Scalability and Performance:
Refactor code to be more efficient, using algorithms and data structures best suited for the tasks.
Scale pipelines to handle larger datasets, possibly in distributed computing environments like Spark.
Testing and Validation:
Implement unit tests, integration tests, and system tests to ensure code quality.
Develop validation strategies to ensure that data processing and model predictions are accurate.
Collaboration:
Work closely with data scientists to understand to come up with innovative tech-driven solutions.
Develop custom tools and utilities that can accelerate data pipelines for the data science team.
Ensure compatibility and integration of these tools with existing systems.
Code Quality and Review:
Conduct regular code reviews to ensure that code adheres to best practices.
Implement coding standards and guidelines tailored to the team's needs.
Mentor junior data scientists in writing clean, modular, and efficient code.
Equal Opportunity Employer/Veterans/Disabled
Accommodations:
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent_Acquisition@redhorsecorp.com
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse's changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse's sole discretion.