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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.
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.
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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.
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.
#J-18808-Ljbffr