Senior DoD Data Engineer - Cloud, Security & Pipelines

BDR Solutions; Quantico (VA); On-site; USD 160,000 - 190,000; Full time

Job summary

BDR Solutions, LLC, is seeking a Senior Data Engineer to design, build, and maintain enterprise-scale data architectures and pipelines for a DoD customer. The role focuses on secure, scalable data solutions across cloud environments and collaboration with architects, data scientists, and government stakeholders.

You will implement ETL/ELT processes, optimize data models, and lead best practices in data governance, quality, and lifecycle management, while supporting DevSecOps and CI/CD

Qualifications

• Bachelor's degree or equivalent in a technical field.
• 8–10 years of DoD/Federal data engineering experience.
• Experience designing enterprise-scale data architectures and pipelines.
• Strong experience with SQL/NoSQL, data warehousing, ETL/ELT tools.

Responsibilities

• Design, develop, and maintain enterprise-scale data architectures and pipelines.
• Develop ETL/ELT processes for structured and unstructured data.
• Design data models, databases, and data workflows for performance, scalability, and security.
• Lead code reviews and enforce security and engineering standards.
• Collaborate with architects, data scientists, and analysts to integrate data solutions.

Skills

SQL databases

NoSQL databases

Data warehousing

ETL/ELT

Hadoop

Spark

Kafka

Python

Java

Scala

Data Governance

Data Quality Management

MDM

Data Lifecycle Management

TS/SCI clearance

Education

Bachelor's degree in Computer Science, Data Science, Information Systems, Software Engineering, or a related technical field

Tools

Hadoop

Spark

Kafka

AWS

Azure

GCP

Job description

BDR Solutions, LLC, is seeking a Senior Data Engineer to design, build, and maintain enterprise-scale data architectures and pipelines for a DoD customer. The role focuses on secure, scalable data solutions across cloud environments and collaboration with architects, data scientists, and government stakeholders.

You will implement ETL/ELT processes, optimize data models, and lead best practices in data governance, quality, and lifecycle management, while supporting DevSecOps and CI/CD