Enterprise Data Engineer

Riverside Research Institute•Dayton, OH

19h

About The Position

Serves as an Enterprise Data Engineer leading the National Air and Space Intelligence Center (NASIC) toward structured, open data exchange and the ability to use, share, and analyze data across multiple organizations to answer 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 advises A9A leadership—including the Principal Technical Analyst, Deputy Chief Data Officer, and Chief Data Officer—on Center needs for data engineering and analytics. The role also guides civilian, military, and contractor counterparts in Center-level data standardization and structure, develops approaches and tools to improve data preparation, organization, and architecture, and manages projects from inception through implementation. Occasional travel may be required. All Riverside Research opportunities require U.S. citizenship.

Requirements

U.S. citizenship.
Current Top-Secret clearance with SCI adjudication.
At least 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; alternatively, at least 8 years of experience and a bachelor's degree in one of those fields.
Demonstrated experience with Tableau visualizations and 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.
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

Serve as the Data Engineering expert.
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.