Senior Data Engineer

In Reston, Virginia, this on-site Senior Data Engineer role supports critical government-focused networking initiatives by shaping scalable data pipelines and architectures. You will lead data integration, analytics enablement, and operational decision support related to cybersecurity and network modernization, ensuring data is reliable for reporting, dashboards, and advanced analytics. The position emphasizes trusted datasets, quality controls, and collaboration with stakeholders to enable informed decisions.

Responsibilities

• Design, build, and maintain robust end-to-end data pipelines to support data collection, integration, transformation, and storage across multiple enterprise sources
• Develop and manage scalable data architectures, including raw, staging, curated, and reporting-ready layers
• Create trusted, reusable datasets and data structures that improve reporting consistency, dashboard performance, and analytics consumption
• Implement data quality controls, validation checks, monitoring, and alerting to detect schema changes, incomplete loads, freshness issues, and other data integrity risks
• Troubleshoot complex data issues across ingestion, transformation, and reporting workflows, identifying root causes and restoring trusted outputs
• Design safe and reliable data publishing patterns, including staging-to-swap deployments, rerunnable processes, idempotent loads, and backfill strategies
• Partner with reporting and analytics stakeholders to prepare and optimize data structures for advanced analytics, machine learning, and visualizations
• Lead cross-functional data initiatives that improve visibility, reduce manual effort, and strengthen data trust across operational workflows
• Conceptualize and implement data products, standards, and processes that enable future decision-support capabilities
• Stay current on advancements in data engineering, analytics architecture, data quality practices, and applied analytics methods

Requirements

• Must possess an active TS/SCI clearance with polygraph OR have an active TS/SCI clearance with ability to obtain a polygraph prior to start
• Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, information systems, or a related field
• 10+ years of related work experience as a Data Engineer, Analytics Engineer, Data Scientist, or similar role
• Must hold a current DoD 8570 IAT Level II certification (e.g., Security+ CE)
• Proficient understanding of data governance, access control, and security best practices in regulated or sensitive environments
• Proven proficiency in Python and SQL for data manipulation, pipeline development, data validation, and analytics support
• Extensive hands-on experience designing and maintaining scalable data architectures, databases, and automated data engineering workflows
• Strong experience with database platforms, including schema design, performance optimization, views/materialized views, and data modeling
• Proven ability to investigate complex data issues, perform root-cause analysis, and implement sustainable corrective actions
• Experience developing technical standards, improving workflow reliability, and communicating technical issues and recommendations to leadership and stakeholders

Technologies

• Python
• SQL
• Tableau

Benefits

• Healthcare
• Wellness
• Financial benefits
• Retirement benefits
• Family support
• Continuing education
• Time off benefits
• Learning and development opportunities

What you can expect

• A culture of integrity
• An environment of trust
• A focus on continuous growth

Pay range

The salary range for this position is $105,100 to $231,100 per year. Final compensation may be influenced by factors such as location, contract wage rates, prior relevant experience, specific skills and certifications, education, and other qualifications. Because the role can be performed from multiple locations, the range shown reflects a national average for the position.