Senior Technical Engineer

About the Role

Key Responsibilities

• Lead technical strategy, architecture, and execution for classified and unclassified programs.
• Serve as the Data and Analytics Lead on key initiatives—modernizing large legacy systems, deploying data science pipelines, and enabling mission data actioning.
• Spearhead AI/ML integration, including data science methodologies, model deployment using MBSE best practices and tools.
• Act as SME to resolve complex system and data outages; remediate production crises that others could not.
• Analyze and coordinate across multiple projects and teams to support interoperability of data streams through custom-built or repurposed operational frameworks.
• Provide proposal and capture support by writing and reviewing content for pursuits as assigned.
• Mentor cross-functional teams, document SOPs, roadmaps, and architectural standards to foster reuse and sustainability.
• Coordinate with engineering and mission teams for design, implementation, and scaling of cloud-first architectures (AWS, Azure, hybrid) using platforms like Snowflake, Redshift, Kafka, Docker, and serverless technologies.
• Execute and implement Agile and DevSecOps principles, focusing on mission-critical SLA and OSA alignment.

Requirements

• Bachelor's degree in computer science, Data Engineering, or a related technical discipline.
• 15+ years of hands-on technical leadership experience in Senior Engineering roles.
• Experience building and modernizing complex data systems, analytics modernization, and enterprise cloud transformation across federal and commercial sectors.
• Supporting the DoD and Intelligence Community, including prior GS-level TDY or strategic advisory roles.
• Deep expertise in data strategy, governance, modeling, AI/ML, geospatial/temporal analytics, and real-time streaming systems.
• Experience leading programs and working on GWACs or IDIQs.
• Active TS/SCI clearance.
• Proven ability to generate and maintain project schedules, briefs, technical reports, and documentation aligned with customer requirements.
• Hands-on experience with cloud architectures (AWS, Azure, hybrid), and platforms like Snowflake, Redshift, Kafka, Docker, and serverless technologies.
• Outstanding technical writing and communication skills; mentoring and collaborative leadership abilities.

Nice to Have

• Recognized thought leadership in data science, engineering, or government IT strategy (e.g., publications, speaking engagements).
• Experience building data products or platforms across DoD, IC, State, and Federal sectors.
• Knowledge of Army, Air Force, and Maritime mission systems.
• Familiarity with IC standards, FedRAMP, CMMC, NIST frameworks, and zero trust architectures.
• Azure 900 and above, AWS Associate or higher certifications.
• Operating system RHEL /LINUX certifications for developers.

Qualifications

• Bachelor's degree in a relevant technical discipline.
• 15+ years of technical leadership experience in engineering roles.
• Active TS/SCI clearance.

Benefits & Perks

• Competitive compensation and benefits package.
• Comprehensive healthcare, wellness, financial, retirement, and family support benefits.
• Continuing education and learning resources.
• Flexible time off and work environment that supports work-life balance.