Data Engineer - Junior
HybridCrystal City, Texas, United States
Job Summary
Design end-to-end solution architectures for secure, cloud-based data platforms supporting federal mission workloads, including data ingestion, processing, storage, and analytics layers. Develop reference architectures, design patterns, and architectural decision records to guide engineering teams, while leading database design and optimizing distributed data processing pipelines using Spark and PySpark. Define storage and compute strategies to balance performance against budget constraints, and collaborate with DevSecOps to embed compliance controls into CI/CD workflows. Conduct architectural reviews, trade-off analyses, and proof-of-concept evaluations to validate solutions before implementation, providing technical leadership and mentorship to engineering teams. Produce architecture documentation and briefings for stakeholder audiences. This hybrid role requires one day of onsite work per week.
Required Qualifications
- Must Be Able to Obtain Public Trust Level 6C
- 3-5 years of Information Assurance experience
- Python
- Spark
- PySpark
- SQL and Database Implementation
- Data Engineering and Data Pipelines
- Storage and Compute Optimization
- GitHub
- Jenkins/Cloudbees
- Ansible
- Terraform
- Vault
- NIST 800-53
- FedRAMP
- DHS 4300A
Desired Qualifications
- Bachelor's Degree in Computer Science or related field
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