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# Software Developer, Data Analytics

- **Company:** M1 DATA & ANALYTICS LLC
- **Location:** McLean, VA, United States
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Algorithm Design, Data Analysis, Big Data, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Databases, Data Integration, Data Mining, Data Systems, Database Design, R (Programming Language), Apache Hadoop, MapReduce, Apache Hive, Systems Analysis, Python (Programming Language), Link Analysis, Machine Learning, NoSQL, SAS (Software), Software Engineering, Software Systems, Text Mining, Web Applications, Web Services, Data Analytics, Massively Parallel Processing, Data Management
- **Published:** September 27, 2026
- **Apply:** https://www.juju.com/job/16_2fab70832

## About the Role

Join the MITRE Data Analytics team where you will provide software development, algorithm development, and data analytics (to include big data analytics, data mining, and data science) to enable data-drive decisions and insights. Experience with analytic techniques and methods (e.g., supervised and unsupervised machine learning, link analysis, and text mining) as well as software languages is a must. Software languages and big data technologies needed include: Java, Python, R, C#, C, SAS, analytic engines, Hadoop, parallelized analytic algorithms, and NoSQL and massively parallel processing databases. The successful candidate will have the ability to formulate problems, prototype solutions, and to analyze result., * Hands-on software development skills (Java, C++, C#, python, Javascript) with web services and web application technologies, database design and implementation (relational and NoSQL), data modeling, data analytics and visualization, and cloud-based technologies. Experience with the Map Reduce programming model and technologies such as Hadoop, Hive, and Pig is a plus.

## Description

* The candidate will be able to design and implement solutions for data/information integration, discovery, analysis, and visualization in large-scale data driven environments
 * Apply software systems engineering methods and tools across the system lifecycle to large and complex data systems
 * Perform requirements engineering, and systems analysis for the integration of legacy functions and data into enterprise-level data management systems


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