Data Engineer
Role summary
We are seeking a Data Engineer to design and build robust data ingestion and processing pipelines for AI/GenAI applications. This role involves developing and maintaining Python-based workflows, implementing CI/CD pipelines using GitHub Actions, and working across cloud environments (AWS preferred, Azure/GCP a plus) with containerization technologies like Docker. The ideal candidate will optimize data systems for generative AI performance, reliability, and scalability. Requires U.S. Citizenship, experience in defense/government environments with sensitive data, and an active Secret clearance (Top Secret preferred). A minimum of 5 years of professional data engineering experience is required.
Key Responsibilities:
- Design and build robust
data ingestion and processing pipelines
for AI/GenAI applications
- Develop and maintain Python-based workflows with testing and validation
- Collaborate with engineers, data scientists, and UI/UX designers
- Implement and optimize CI/CD pipelines (GitHub Actions)
- Work across cloud environments (AWS preferred; Azure/GCP a plus)
- Use containerization technologies (Docker) for scalable deployments
- Optimize data systems for generative AI performance, reliability, and scalability
Required Qualifications:
- U.S. Citizenship
- Experience supporting defense or government environments, including classified/sensitive data
- Active Secret clearance (Top Secret preferred)
- 5+ years of professional experience in data engineering
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