Senior Cloud Data Engineer

Position Summary

We are seeking an experienced Senior Cloud Data Engineer passionate about creating next-generation cloud-based products and services for the Department of War’s (DoW) Test & Evaluation (T&E) community. This role blends Cloud Architecture, Data Engineering, and DevSecOps to support the complete T&E data lifecycle—from test planning through evaluation and operational deployment. The selected candidate will work onsite at the Redstone Test Center. In this pioneering role, you'll architect and implement cloud-based solutions that transform how DoW collects, processes, analyzes, and visualizes test data. You'll work at the intersection of cutting-edge cloud technologies and mission-critical defense applications, directly impacting national security capabilities.

What You'll Do

Cloud Architecture & Implementation (40%)

• Design and implement scalable, secure data storage solutions on Azure cloud infrastructure.
• Architect and deploy cloud services on DoD networks, navigating the Authority to Operate (ATO) process.
• Implement infrastructure as code using Terraform to provision and manage cloud resources.
• Ensure compliance with DoD security frameworks (RMF, NIST 800-53) including data encryption, access controls, and boundary protection.

Data Engineering & Pipeline Development (35%)

• Develop and maintain robust data pipelines for ingestion, transformation, and distribution of large-scale datasets.
• Implement automated data workflows using Azure Data Factory, Databricks, or similar platforms.
• Optimize cloud data systems for performance, cost-efficiency, and reliability.
• Create and maintain data flow diagrams, metadata catalogs, and lineage documentation

Technical Leadership & Collaboration (25%)

• Translate complex technical concepts for diverse audiences—from engineers to executive leadership.
• Define product roadmaps and technical strategies aligned with customer mission needs.
• Collaborate with cross-functional teams including program management, software developers, and test engineers.
• Mentor junior engineers and promote best practices in cloud architecture and DevSecOps.

Requirements And Qualifications

Education & Experience

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field from a regionally accredited institution.
• 5+ years of hands-on experience with cloud platforms (Azure strongly preferred).
• 3+ years designing and implementing data engineering solutions in production environments.
• 2+ years working with DoW (formerly, DoD) or federal government systems and security requirements.

Technical Skills

• Cloud Platforms: Proficient with Azure services (Storage, Data Factory, Databricks, Key Vault, Virtual Networks).
• Infrastructure as Code: Hands-on experience with Terraform or similar tools (ARM templates, Bicep).
• Programming: Proficiency in Python and/or PowerShell for automation and data processing.
• Data Technologies: Experience with SQL, NoSQL databases, and big data frameworks (Spark, Hadoop, etc.).
• DevSecOps: Practical knowledge of CI/CD pipelines, Git, and containerization (Docker, Kubernetes).
• DoD/DoW Security: Demonstrated experience obtaining ATOs and implementing security controls on DoD/DoW networks.

Professional Skills

• Excellent written and verbal communication skills with ability to present to technical and non-technical audiences.
• Strong analytical and problem-solving abilities.
• Self-motivated with ability to manage multiple priorities in a dynamic environment.

Clearance

• U.S. Citizenship and an active Secret security clearance is required, with the ability and willingness to obtain TS/SCI clearance.

Desired Qualifications

• Master's degree in Computer Science, Data Science, Engineering, or related field.
• Azure certifications: Azure Administrator Associate (AZ-104), Azure Data Engineer Associate (DP-203), or Azure Solutions Architect Expert (AZ-305).
• Security certifications: Security+ (DoD 8570 IAT Level II), CISSP, GICSP, or GSEC.
• Experience with Azure Government or Azure Government Secret cloud environments.
• Background in T&E, modeling and simulation, or experimentation domains.
• Experience with machine learning operations (MLOps) and AI/ML pipeline development.
• Advanced Terraform skills including module development and state management.
• Active TS/SCI security clearance.

Benefits

• Competitive pay based on the work you do here and not your previous salary.
• Traditional benefits such as medical, dental, vision, life, disability, and 401k matching.
• Employee Stock Ownership Plan (ESOP).
• Paid leave and the ability to cash out leave.
• Free access to certified financial planners, wellness and support services, and discount programs.
• Education assistance and professional development opportunities.
• And much more.