Senior Data Engineer — Active Secret Clearance, AI

Jobtailor

United States

On-site

USD 120,000 - 170,000

Full time

10 days ago
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Job summary

Jobtailor is seeking a data engineering professional to own end-to-end data ingestion, cleaning, and quality processes, leveraging Python, BigQuery, Cloud Storage, and Vertex AI/RAG. You will design embeddings, vector search, and metadata-driven retrieval while mentoring teammates and ensuring DoD compliance.

Ideal candidates have 3+ years of engineer experience, hold an active Secret clearance, and are comfortable working in the Washington, DC area.

Qualifications

  • 3+ years of relevant technical or engineering experience.
  • Hands-on experience with Python, BigQuery, Cloud Storage, Vertex AI/RAG, embeddings, vector search, SQL, data quality, IAM, and evaluation.
  • Active Secret clearance required
  • TS/SCI eligibility preferred
  • Google Cloud Professional Data Engineer or Professional Machine Learning Engineer preferred
  • Experience taking AI use cases from discovery through adoption measurement preferred
  • Washington, DC / Northern Virginia area preferred

Responsibilities

  • Own ingestion, cleaning, chunking, embeddings, metadata, retrieval, citations, access filtering, and data quality
  • Implement solutions using Python, BigQuery, Cloud Storage, Vertex AI/RAG, embeddings, and vector search
  • Mentor team members and contribute reusable standards
  • Support RMF/FedRAMP/DoD authorization activities
  • Build the knowledge pipeline that gives Gemini grounded, traceable, and permission-aware answers for mission-critical applications

Skills

Python
Embeddings
Vector search
SQL
Data quality
IAM
Evaluation
BigQuery

Education

Active Secret Clearance
Google Cloud Professional Data Engineer
Google Cloud Professional Machine Learning Engineer

Tools

Google Cloud Platform
Vertex AI
BigQuery
Cloud Storage
RAG
Embeddings

Job description

Jobtailor is seeking a data engineering professional to own end-to-end data ingestion, cleaning, and quality processes, leveraging Python, BigQuery, Cloud Storage, and Vertex AI/RAG. You will design embeddings, vector search, and metadata-driven retrieval while mentoring teammates and ensuring DoD compliance.

Ideal candidates have 3+ years of engineer experience, hold an active Secret clearance, and are comfortable working in the Washington, DC area.

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