Data Engineer - SOCOM

Agile Defense
United States
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Technical communication","Collaboration","Agile mindset","Reproducibility","Testing"]

Design, develop, and deploy scalable, AI-enabled data solutions for the Department of Defense’s CDAO ADA IR program. Build data pipelines, preprocessing workflows, feature engineering strategies, and machine learning services in secure, containerized environments. Collaborate with product managers, full-stack developers, platform engineers, and mission stakeholders to turn raw data into decision-support insights, emphasizing reproducibility, testing, and continuous delivery.

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FursaFursa
Agile Defense
Agile Defense
1 day ago

Data Engineer - SOCOM

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Last checked: 1 hour agoStatus: Live

Job Summary

Design, develop, and deploy scalable, AI-enabled data solutions for the Department of Defense’s CDAO ADA IR program. Build data pipelines, preprocessing workflows, feature engineering strategies, and machine learning services in secure, containerized environments. Collaborate with product managers, full-stack developers, platform engineers, and mission stakeholders to turn raw data into decision-support insights, emphasizing reproducibility, testing, and continuous delivery.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and operationally deploy scalable AI-enabled data solutions for mission-critical environments.
  • •Shape and deploy data pipelines, preprocessing workflows, and feature engineering strategies within secure, containerized setups.
  • •Build and deliver machine learning services and support ML model development from training through deployment.
  • •Apply data validation, testing, and performance evaluation techniques to ensure reliable outcomes.
  • •Collaborate with cross-functional teams to transform raw data into meaningful insights and decision-support tools.

Key Requirements

  • •A bachelor's degree plus 3 years of recent specialized experience, or an associate's degree plus 7 years, or a major certification plus 7 years, or 11 years of recent specialized experience.
  • •4+ years of experience in applied data science, Palantir Foundry development, or data pipeline development.
  • •Proficiency in Python and SQL, and distributed data frameworks such as Spark and Databricks/PySpark.
  • •Experience developing ML models from training through deployment using tools and libraries such as scikit-learn, TensorFlow, and XGBoost.
  • •Must be able to work in a SCIF for 8 hours per day.
Experience:3+ years
Skills:Technical communicationCollaborationAgile mindsetReproducibilityTesting
Tech Stack:PythonSQLSparkDatabricksPySparkScikit-learnTensorFlowXGBoostAWSAzurePalantir FoundryMLOpsAPI developmentContainersData visualization

Eligibility

Security Clearance:Top SecretSCI

Company Brief

Agile Defense
Provides cybersecurity services including managed detection and response, incident response, vulnerability assessments, and security operations to help organizations detect, respond to, and remediate cyber threats while meeting regulatory and compliance requirements.
Industry: Cybersecurity
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