Data Operations Engineer (Req #: 30862) with Security Clearance

Data Operations Engineer Req #: 30862 Clearance: Secret Schedule: (Hybrid) 2 days per week Location: Fort Meade, MD Anticipated Salary Range: $137,510.00 - $195,000.00. Essential Job Responsibilities Customer Interface & Engagement: Serve as the liaison between the customer and the technical team. You will manage expectations, communicate technical roadmaps, and translate mission-specific data needs into actionable engineering tasks.

Operational Leadership: Assist in managing the daily operations of the DataOps team, focusing on accelerating data availability and minimizing the latency between initial data identification and final database availability.

Systems Engineering Oversight: Oversee the deployment and maintenance of data flows using standardized templates and core libraries provided by the Engineering team.

Performance Tuning: Responsible for immediate cluster performance tuning and pipeline monitoring to ensure data health and discovery latency are minimized.

Strategic Alignment: Drive the technical evolution of the data platform, moving the organization from a reactive maintenance state toward a proactive, automated, and adaptive operational model.

Ecosystem Coordination: Facilitate technical exchanges to ensure scripts, flow strategies, and wins in one area of the ecosystem are adapted and utilized across others.

Quality Governance: Implement automated "Quality Gates" and schema validations to ensure data integrity before it reaches production environments.

Technical Troubleshooting: Assist with the decomposition of complex technical problems and troubleshoot systemic dataflow issues across distributed messaging, orchestration, and cloud environments. Other duties as assigned.

Minimum Qualifications Clearance Requirement: Must currently have and maintain an active Secret U.S. Government Security Clearance with the ability to obtain and maintain a TS/SCI; U.S. Citizenship required. Must have 9+ years in technical operations, systems engineering, or data management with a Bachelor’s degree; OR 7 years relevant experience with Masters in related field; OR High School Diploma or equivalent and 13 years relevant experience.

Distributed Systems & Cloud Platforms: Proven experience managing high-volume data flow and storage solutions, specifically distributed messaging queues, data orchestration engines, and cloud-native storage. Observability & Log Analysis: Strong familiarity with enterprise observability platforms and log analysis tools for monitoring system health and minimizing data discovery latency.

Data Standards: Deep understanding of network data, metadata fill rates, and various log formats such as JSON and XML.

ETL Management: Fluency in managing extraction, translation, and loading (ETL) processes to enable rapid analytics.

Data Validation: Experience with Structure Query Language (SQL) for the purposes of data validation in conjunction with members of the team and the customer.

Scripting for Automation: Ability to utilize scripting languages (e.g., Python or Java) to implement shared libraries that automate repetitive tasks and improve operational efficiency.

Technical Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and translate customer mission requirements into technical specifications. Must have a current/active DoD 8140 / 8570 IAT Level II compliance certifications. Must be able to work on customer site in Fort Meade, MD on average 2 days a week. Flexibility is essential to accommodate any changes in the schedule. Preferred Requirements A current TS/SCI level clearance is desired.

Customer Success Background: Prior experience in a technical account management or customer-facing engineering role.

Scalable Architectures: Experience with distributed data processing and cloud-native storage solutions.

Security Operations: Prior experience supporting cyber or network security operations. Governance & Access: Knowledge of implementing automated Attribute Based Access Control (ABAC) or data masking within production pipelines.