Enterprise Data Engineer

Riverside Research Institute•Bath Township, OH

2d•$130,000 - $150,000

About The Position

Riverside Research is an independent national security nonprofit providing technical services, research and development, and prototype solutions to challenging technical problems. All Riverside Research opportunities require U.S. citizenship. The Enterprise Data Engineer leads the National Air and Space Intelligence Center (NASIC) toward structured, open data exchange, enabling data use, sharing, and analysis across organizations to address mission and business intelligence questions. The role manages and prioritizes the project stream and works with internal customers to define projects and business requirements. The engineer serves as a technical expert and analytical advisor to A9A leadership, supports data standardization and structure across the Center, and develops approaches and tools to improve data preparation, organization, and architecture. Projects are managed from inception through implementation in collaboration with communities of experts and team members. Riverside Research Institute is a not-for-profit, technology-oriented defense company. The organization describes itself as an affirmative action-equal opportunity employer and offers comprehensive compensation and benefit packages. The stated typical compensation range for this position is $130,000–$150,000, depending on experience, location, and other factors.

Requirements

Current Top Secret clearance with SCI adjudication.
Either 6+ years of technical project management or data engineering experience and a master’s degree in information science, computer science, engineering, mathematics, or a related technical field; or 8+ years of experience and a bachelor’s degree in one of those fields.
Demonstrated experience with Tableau visualizations/data preparation and SharePoint data capabilities.
Demonstrated experience with business analytics and principles of analyzing financial, production, and/or intelligence data.
Familiarity with Python, SQL, data pipelines, ETL techniques, and ontologies.
Effective and efficient written and verbal communication skills.
Proficiency in MS Word, PowerPoint, and Power BI.
Self-motivated, detail-oriented, responsible team player able to work independently with minimal daily direction.
Ability to work and interact with technically and organizationally diverse personnel.
U.S. citizenship.
Open to occasional travel.

Nice To Haves

Familiarity with NASIC intelligence analysis and production processes.
Master’s degree in information science, computer science, engineering, mathematics, or a related technical field.
Professional certifications in Data Analytics.

Responsibilities

Plan, design, document, and implement requirements for enterprise data engineering.
Advise A9A leadership, including the Principal Technical Analyst, Deputy Chief Data Officer, and Chief Data Officer, on Center data engineering and analytics needs.
Guide civilian, military, and contractor counterparts in developing Center-level data standardization and structure.
Develop approaches, methods, tools, automation, and procedures to improve Center data preparation, organization, and architecture.
Manage projects from inception to implementation.
Collaborate with communities of experts and lead team members to drive enterprise achievement.
Perform other duties as assigned.