Associate Data and AI Engineer at The MITRE Corporation

McLean, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, R, Machine Learning, Data Ingestion, Data Transformation, Data Integration, Data Analysis, Feature Engineering, Cloud Platforms, Containerization, Spark, Databricks, Kafka, Airflow, Data Governance

Industry

Research Services

Description

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. Department Summary: Join the “Data Engineering and Environments Department (L146)” in MITRE Labs and build secure, scalable data foundations and solutions across the federal government. Our mission-focused data capabilities include modernizing data ecosystems, enabling secure data access and interoperability, and engineering resilient computing environments. Our team delivers impactful solutions that strengthen national defense and civilian missions, from joint warfighting and cyber defense to public safety and transportation. We turn complex data environments into decisive advantage. Roles & Responsibilities: Design, build, and deploy modern data pipelines to support structured, unstructured, streaming, and multimodal mission datasets Develop and enhance data ingestion, transformation, and integration workflows within distributed data environments Assist in defining data models, integration patterns, schemas, metadata, and cataloging structures across distributed environments Help document architecture decisions, trade-off analyses, and blueprint artifacts to support stakeholder communication Support evaluation of emerging technologies, analytics platforms, and commercial products to align with mission requirements Conduct exploratory data analysis, feature engineering, and algorithm assessment to support rapid prototyping and mission experimentation Apply modern Data and AI techniques to automate testing, deployment, and monitoring across development lifecycles Collaborate with cross-functional teams to translate operational challenges into technical implementation paths Basic Qualifications: Ability to obtain and maintain at least a Secret clearance, which requires U.S. citizenship Typically requires less than 1 year of related experience with a related Bachelor’s degree, or equivalent combination of related education and work experience. Strong analytical, problem-solving, communication, and teamwork skills Hands-on experience with one or more of the following: Python, SQL, R, or equivalent languages for data retrieval, processing and analysis Familiarity and knowledge with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and analytical tooling Familiarity and knowledge using one or more of the following modern data technologies such as Containerization, Spark, Databricks, Kafka, Airflow, distributed databases Familiarity with any cloud platforms (AWS, Azure, or GCP) and experience is a plus This position requires a minimum of 50% hybrid on-site Preferred Qualifications: Ability to obtain and maintain a Top Secret/SCI clearance Experience with ingesting and retrieving data from various databases/sources, visualization and reporting tools such as Power BI, Tableau, or Superset Experience developing production-grade data or ML pipelines Ability to build trusted relationships with internal and external mission partners Experience with system modeling such as use case diagram, class diagrams to represent systems and high-level functions /interactions using any modeling tool is a plus Knowledge of MLOps/DevSecOps tools, CI/CD workflows, and Containerization Familiarity with data governance, metadata cataloging, or standards-based interoperability This requisition requires the candidate to have a minimum of the following clearance(s): None This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Secret Work Location Type: Hybrid Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright © 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Responsibilities

Design, build, and deploy modern data pipelines to support various mission datasets. Collaborate with cross-functional teams to translate operational challenges into technical implementation paths.