Data Operations Technical
Posted 30 Jun 2026
Advertised as “Data Operations Technical Lead”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- People management
- Employment
- On-Site
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science, Data Engineering, Information Systems (or related)
Study levelBachelor's or higher
About Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.
Requisition #: 1700 Job Title: Data Operations Technical Lead Location: MacDill AFB, FL Clearance Level: Top Secret / SCI, Must Have Clearance to Start
Job Description
The contractor shall identify a Data Operations Technical Lead by name who shall deliver the foundational data infrastructure necessary to transform SOF Enterprise data into a critical strategic asset. This individual will ensure comprehensive data and engineering management, data quality and resource management providing scalable systems and reliable infrastructure essential for integrating advanced analytics and effective Artificial Intelligence solutions, significantly enhancing data-driving decision-making across all warfighting functions. Job Duties:- Design, build, and maintain highly scalable, reliable, and efficient data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses, data lakes, and other storage systems.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the efficient flow of data across various platforms and systems.
- Develop, deploy, and maintain real-time data streaming solutions to process and deliver data with low latency (using tools like Apache Kafka, Flink, or Spark Streaming). Optimize and automate data workflows, ensuring that data pipelines are efficient, reliable, and capable of handling increasing data volumes. Oversee the development of data models and schema designs to ensure accurate, accessible, and high-performance data storage for analytics and reporting.
- Ensure data quality, integrity, and consistency by implementing data validation, monitoring, and error-handling mechanisms.
- Monitor and troubleshoot performance bottlenecks in data systems, resolving issues with data processing and data access.
- Stay current with emerging trends and best practices in data engineering, recommending new tools, technologies, and methods to enhance existing infrastructure.
- Mentor and guide junior data engineers, promoting best practices in data engineering and fostering a collaborative, high-performance team environment.