Data Operations Engineer

• Lead a technically focused Data Operations team responsible for reliability, uptime, and speed-to-delivery of mission-critical data sets
• Serve as the primary technical point of contact and liaison for customer stakeholders
• Manage expectations, communicate technical roadmaps, and translate mission-specific data needs into engineering tasks
• Assist with daily Data Ops team operations to accelerate data availability and minimize discovery-to-database latency
• Oversee deployment and maintenance of data flows using standardized templates and core engineering libraries
• Tune cluster performance and monitor pipelines to maintain data health and minimize discovery latency
• Drive the data platform from reactive maintenance toward a proactive, automated, adaptive, and self-healing model
• Facilitate reuse of scripts, flow strategies, and operational improvements across the ecosystem
• Implement automated Quality Gates and schema validations before production
• Decompose complex technical problems and troubleshoot dataflow issues across distributed messaging, orchestration, and cloud environments
• Perform other duties as assigned

• Must currently have and maintain an active Secret U.S. Government Security Clearance
• Ability to obtain and maintain a TS/SCI clearance
• U.S. Citizenship required
• 9+ years in technical operations, systems engineering, or data management with a Bachelor’s degree; OR 7 years relevant experience with a Masters in related field; OR High School Diploma or equivalent and 13 years relevant experience
• Experience managing high-volume data flow and storage solutions
• Experience with distributed messaging queues, data orchestration engines, and cloud-native storage
• Familiarity with enterprise observability platforms and log analysis tools
• Understanding of network data, metadata fill rates, JSON, and XML
• Fluency managing ETL processes
• Experience with SQL for data validation
• Ability to use scripting languages such as Python or Java
• Ability to communicate technical concepts to non-technical stakeholders and translate customer requirements into technical specifications
• Must work on customer site in Fort Meade, MD 4–5 days a week
• Flexibility to accommodate schedule changes

Demonstrates expertise in managing high-volume data flows and storage solutions, with a strong focus on data operations, reliability, and performance optimization. Proficient in translating technical requirements into actionable engineering tasks while maintaining effective communication with stakeholders.

• Data Operations Management
• ETL Process Management
• SQL Data Validation
• Python Scripting
• Cloud-Native Storage Solutions

• Data Management
• Distributed Messaging Queues
• Data Orchestration Engines
• JSON
• XML
• Cluster Performance Tuning
• Automated Quality Gates
• Schema Validation
• Technical Roadmap Communication
• Troubleshooting Dataflow Issues

• Stakeholder Communication
• Expectation Management
• Problem Decomposition

• Active Secret U.S. Government Security Clearance
• Ability to Obtain TS/SCI Clearance

• Data Health
• Data Availability
• Operational Improvements
• Self-Healing Model
• Mission-Critical Data Sets

• Enterprise Observability Platforms
• Log Analysis Tools