Data Engineer

Leidos in Fort Worth, TX offers an onsite Data Engineer role that supports FAA NISC, with a focus on SharePoint management, BI dashboards, and data reporting for FAA senior leaders and external groups. This position integrates automation, analytics, and cross-functional collaboration to drive impactful insights.

The role provides a competitive salary range of USD 73,450 to 132,775 per year, plus a benefits package designed to support health, protection, and long-term financial stability. Expect Health and Wellness programs, Income Protection, Paid Leave, Retirement options, and a clear path to career growth within a mission-driven environment.

Responsibilities

• Create data reports and analytics by building processes aligned with automation and efficiency initiatives.
• Develop BI reporting pipelines and dashboards using Tableau, Business Objects, Excel, SharePoint, and related Office tools.
• Design visual, interactive dashboards tailored to stakeholder needs and organizational requirements.
• Build databases that support web applications and websites.
• Assess user needs to optimize site content, graphics, performance, and capacity.
• Produce and coordinate web content, including writing, design, and edits as needed.
• Design and deploy dashboards and reports on Tableau Server.
• Translate business requirements into features and functionality to achieve required results.
• Support the development of internal policies and procedures affecting cross-functional activities and best practices.
• Conduct independent research and implement automated processes through workflows and related methods.
• Administer SharePoint and manage access to shared drives for high priority projects and programs.

Requirements

• Bachelor’s degree plus 4 to 8 years of relevant experience in Statistics, Mathematics, Data Analytics, or a related analytical field; equivalent experience may substitute for the degree.
• Experience managing multiple databases.
• Experience delivering Tableau reports and dashboards.
• Strong proficiency in data visualization, dashboard design, and workflow.
• Advanced knowledge of the Microsoft Office suite and SharePoint.
• Solid understanding of data modeling, data warehousing, and database design principles.
• Skills with relational databases, SQL, and API-based data querying.
• Experience developing predictive algorithms, image classifiers, and object detectors.
• Proficiency in data visualization tools such as Power BI or similar graphical applications.
• Experience with data science languages like R and Python.
• Ability to integrate and merge disparate data sources using R, Python, or SQL.
• Eligibility to obtain and 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