Senior Data Engineer

Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.

SPA's Sea Land Air (SLA) Division supports a diverse portfolio of national security government clients, including the Undersea Enterprise, the Navy Surface Community, the Navy MPTE Enterprise, the Army, DoD Agencies, DARPA, OSD, international clients including the Canadian Navy and Australian Defense Force. Our primary objective is to provide timely, objective and analytic assessments that integrate the policy, operational, technical, programmatic and acquisition aspects of our clients' challenges.

Leveraging both in-domain and cross-domain expertise to maximize our clients' success, SLA Division acts as trusted agents to senior decision-makers and key leaders and excels at providing data driven analytic insights, systems engineering, strategies and plans that address current and emerging challenges to national security.

SPA's Air Force and Army Programs Group provides aviation-focused analysis and program management for life-cycle systems engineering and logistics support, rapid capabilities development and fielding, cyber warfare operations, nuclear C3, and integrated air and missile defense planning. We provide advanced studies, wargame development, and analysis to support materiel operations, supply strategies, and fleet readiness.

SPA has a near term need for a Senior Data Engineer located at Ft. Belvoir, VA. #MC

Assembles large, complex sets of data that meet non-functional and functional business requirements. Identifies, designs, and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Builds required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, AWS and Google technologies. Builds analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition. Works with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues. Works with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues.

Required Qualifications:

BS degree with 10 years data engineering experience
• Strong competencies related to Azure, AWS and Google technologies
• DoD Secret clearance and the ability to maintain this throughout employment