Associate Data and AI Engineer

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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.

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