Secret-Clearance AI & Data Engineer – Hybrid DC

Soc Llc

Washington (District of Columbia)

On-site

USD 98,000 - 140,000

Full time

5 days ago
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Job summary

SOC is seeking an AI and Data Engineer to work on-site in Washington DC with potential future hybrid arrangements. The role involves designing and delivering modern data platforms, analytics products, and data pipelines that enable mission-focused outcomes for government clients.

You will collaborate with multidisciplinary teams, translate requirements into scalable technical designs, and implement end-to-end data and AI solutions compliant with security requirements.

Qualifications

  • Bachelor's degree in CS, Data Science, Engineering, Math, Statistics, or Info Systems.
  • 3+ years developing data pipelines, ML models, or AI apps using Python and SQL.
  • 1+ year using Git and CI/CD to deploy software.
  • Active Secret Security Clearance or higher.
  • Must reside within commutable distance to the office and able to commute daily.

Responsibilities

  • Design and build data pipelines, ML models, and AI-enabled apps using Python, SQL, and cloud services.
  • Translate mission and business requirements into technical designs, data models, and implementation plans.
  • Develop, test, deploy, and monitor scalable analytics and AI solutions with MLOps practices.
  • Collaborate with product, engineering, analytics, and clients to integrate data and AI into platforms and processes.
  • Document architecture, model performance, data lineage, and procedures for governance and sustainment.

Skills

Python
SQL
Git
CI/CD
Communication

Education

Bachelor's degree
Master's degree

Tools

Databricks
Palantir
AWS
Azure
GCP

Job description

SOC is seeking an AI and Data Engineer to work on-site in Washington DC with potential future hybrid arrangements. The role involves designing and delivering modern data platforms, analytics products, and data pipelines that enable mission-focused outcomes for government clients.

You will collaborate with multidisciplinary teams, translate requirements into scalable technical designs, and implement end-to-end data and AI solutions compliant with security requirements.

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