Data Engineer
Job Description
Leidos offers Health and Wellness programs, Income Protection, Paid Leave, Retirement, and competitive compensation. This onsite Data Engineer role in Fort Worth, TX supports the FAA NISC with a focus on SharePoint management, BI dashboards, and data reporting for FAA senior leaders and external groups. The position emphasizes automation, streamlined processes, and cross-functional collaboration.
Responsibilities
- Support through data reports/analytics by developing processes and procedures to align with automation, streamlining and efficiency initiatives
- Develop business intelligence reporting systems such as Tableau, Business Objects, Microsoft Excel, SharePoint and other Office products
- Design visual and interactive tools and dashboards tailored to organization requirements
- Develop databases that support web applications and web sites
- Analyze users’ needs to implement Web site content, graphics, performance, and capacity
- Write, design, edit web page content, or direct others producing content
- Design and implement dashboards and reports using Tableau Server
- Translate business requirements into the design and implementation of features and functionality required to deliver the required results
- Assist with development of internal organization policies and procedures, which affect cross-functional activities and best practices
- Demonstrate independent ability to research, study, workflow and other means implementing automated processes
- Manage SharePoint site and access shared drives to manage high priority projects and programs
Requirements
- Bachelor’s degree and 4 to 8 years of relevant experience in Statistics, Mathematics, Data Analytics, or a related analytical field. Experience in lieu of degree considered.
- Experience with managing multiple Databases
- Experience working with Tableau reports and dashboards
- Proficiency in data visualization, dashboard design and workflow
- Advanced knowledge of Microsoft Office suite & SharePoint
- Strong understanding of data modeling, data warehousing, and database design principles
- Skilled in relational databases, SQL, and API-based data querying
- Experience developing predictive algorithms, image classifiers, object detectors, and others
- Proficiency in data visualization and graphical applications (Power BI, etc.)
- Experience with major data science languages such as R and Python
- Ability to manage and merge disparate data sources using R, Python, or SQL
- Ability to get/maintain Public Trust clearance
Technologies
- Tableau
- Business Objects
- Microsoft Excel
- SharePoint
- Tableau Server
- Microsoft Office
- SQL
- API-based data querying
- R
- Python
- Power BI
- Git
- SVN
- Jira
- Azure
Benefits
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
- Competitive compensation