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# Data Engineer

- **Company:** Grey Matters Defense Solutions, LLC
- **Location:** Centennial, CO, United States
- **Salary:** $125,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Big Data, Databases, Continuous Integration, Data Presentation, Relational Databases, Software Design Patterns, Python (Programming Language), NumPy, Data Processing, Pytorch, Pandas, Dask, Docker
- **Published:** July 10, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2867804490-2

## About the Role

* Python Pandas, NumPy, PyTorch, Ultralytics
 * Docker
 * Understanding of python data manipulation packages Pandas, NumPy, PyTorch, Dask
 * Use of APIs (some that are documented and not documented)
 * Understanding of relational database design and maintenance
 * Understanding of Software Design Patterns and their implementations
 * Ability to do own research and implement new solutions

Preferred Skills:

 * Python big data manipulation libraries (ex. PyArrow)
 * Python distributed processing libraries (ex. Ray)
 * Continuous Integration/Continuous Development (CICD)
 * Scaling pipeline architecture

Join our team of exceptional developers, architects, and data scientists!

## Description

* The position of Data Engineer for the Talon Ark Program is responsible for maintaining and designing new features for the data pipeline. The pipeline end-to-end goes from our Analyst to our Data Scientist on the program. This position is responsible for maintaining the collection of data from various sources, presenting data to the analyst, gathering and curating the inputs from the analyst, and producing the vehicle through which the Data Scientist can use the data created. This position requires a high level of problem-solving skills, and the ability to research using vast amounts of resources to arrive at a solution. The position works closely with the Analyst and Data Scientist on the program to create a viable solution for the customer. What is produced in this position is mainly for the sake of serving the Analyst and Data Scientist. However, creating and maintaining good data is a key factor in making this program successful., * Collect data for analysis
 * Filter data prior to showing it to analyst based on needs of models
 * Provide Analyst with platform to make annotations to data
 * Collect and curate annotations from Analyst
 * Maintain database where annotations and their related metadata is stored
 * Provide and maintain Data Scientist's access to database for the purpose of making datasets


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