Onsite Senior Data Engineer – Secure Pipelines & Architecture

Space Dynamics Laboratory

Stafford (VA)

On-site

USD 108,000 - 208,000

Full time

5 days ago
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Job summary

Space Dynamics Laboratory in Stafford, VA is hiring a Data Engineer to design and implement data infrastructure for a government customer. This full-time onsite role focuses on building scalable data solutions through architecture, data modeling, and pipeline development.

You will translate business needs into data models and pipelines, evaluate tools and processes, monitor and optimize data workflows, and document models to enable data sharing.

Qualifications

  • Bachelor’s degree in CS or related field.
  • 5+ years of relevant experience.
  • Advanced SQL skills and data modeling expertise.
  • Python proficiency for data pipelines.
  • Experience with data architecture and governance.
  • Ability to obtain a U.S. Government security clearance.
  • Strong communication and cross-functional collaboration.
  • U.S. citizenship required.

Responsibilities

  • Translate requirements into data models and pipelines.
  • Evaluate and implement data engineering tools.
  • Monitor, troubleshoot, and optimize data workflows.
  • Document data models, pipelines, and processes.
  • Design data strategy with security and compliance considerations.
  • Create conceptual, logical, and physical data models.

Skills

Advanced SQL
Python
Data architecture
Data modeling
Data pipeline design
Data pipeline implementation
Software configuration management
Communication
U.S. citizenship

Education

Bachelor’s degree in computer science, data engineering, or a related field

Tools

Version control

Job description

Space Dynamics Laboratory in Stafford, VA is hiring a Data Engineer to design and implement data infrastructure for a government customer. This full-time onsite role focuses on building scalable data solutions through architecture, data modeling, and pipeline development.

You will translate business needs into data models and pipelines, evaluate tools and processes, monitor and optimize data workflows, and document models to enable data sharing.

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