LMI is a not-for-profit government consulting firm, dedicated exclusively to advancing the management of the government. As a not-for-profit company, we deliver the best value for the government dollar as all revenues are directed to our mission of advancing government rather than to deliver shareholder value. We operate completely free of political and commercial bias, and we are entirely aligned with the goals of our clients. Our clients value our not-for-profit status and specialized services in logistics, intelligence, homeland security, health care and energy and environment markets. We believe government can make a difference, and we seek talented, hardworking people who share that conviction. LMI is seeking a Data Engineer SME to work at a client location at Fort Belvoir, VA.
The successful candidate for this position will support a program office within PEO EIS organization.
The Data Engineer possesses experience in the full complement of data engineering activities across the program life, and is capable of preparing recommendations with sufficient rationale to advise senior leader decisions that enable program success. The Data Engineer primarily prepares data for analytical and /or operational uses within a defined organization, functional, and / or application context. This includes:
(1) Leading / developing data products within the system / software development life cycle from requirements definition, to architecture, design, implementation, and test, through deployment and operations and support;
(2) Defining / developing techniques to integrate, consolidate, and structure data for analytical use, to include ability to inform on data aggregation and associated security implications, and the ability to leverage logical data models to support data source mappings;
(3) Identifying data migration strategies to transition data from legacy systems and technologies to advanced, enterprise-based solutions;
(4) Preparing strategic and tactical recommendations with sufficient rationale to advise senior leader decisions relative to the applicability and application of data technologies;
(5) Performing assessments relative to data architecture, design, and implementation, and identify system impacts associated with new requirements, and requirements changes; and
(6) Contribute to technical collaboration with internal and external stakeholders.
Additionally, the individual must:
(a) Understand and have the ability to apply/implement cloud-based data and database technologies;
(b) Be able to develop data architecture and design products, with use of R and Oracle to support data analysis
(c) Have knowledge of multiple databases and associated schemas, ability to leverage structured and unstructured data with data ingestion practices, and various data visualization technologies
(d) have the knowledge and skills to apply data standards and best practices while adhering to applicable Department of Defense (DoD) laws, policies, directives, mandates and guidance, to include data protection of sensitive information (e.g. Personally identifiable information (PII) and Protected Health information (PHI)).