Intermediate Data and AI Engineer

The MITRE Corporation • McLean, VA

1d • Hybrid

About The Position

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.

Requirements

• Requires a Bachelor’s degree and a minimum of 2 years of related experience; or an advanced degree with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.
• Hands-on experience with one or more of the following: Python, SQL, R, or equivalent languages for data retrieval, processing and analysis
• Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and analytical tooling
• Strong knowledge or experience using one or more of the following modern data technologies such as Containerization, Spark, Databricks, Kafka, Airflow, distributed databases
• Good understaning of cloud platforms (AWS, Azure, or GCP) and experience is a plus
• Ability to obtain and maintain at least a Secret clearance, which requires U.S. citizenship
• This position requires a minimum of 50% hybrid on-site

Nice To Haves

• 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
• Strong analytical, problem-solving, communication, and teamwork skills

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees