Data Engineer

Leidos is seeking a Data Engineer to support federal IT modernization by helping stand up an Agile development team. The role focuses on end-to-end data work, from collecting and transforming data to delivering dashboards and self-service analytics for stakeholders.

This position is based in Washington, DC with onsite requirements as the program matures. Salary for the role is USD 92,300 - 166,850 per year.

What You’ll Do

• Gather, clean, and validate data from multiple sources to maintain accuracy, consistency, and usability.
• Analyze complex datasets to identify trends, patterns, and insights that address operational and business questions.
• Design and build interactive dashboards, reports, and visualizations using Kibana to communicate results clearly to stakeholders.
• Apply visual design fundamentals (UI) such as visual hierarchy, proximity, similarity, font selection, and color theory, while understanding visual/layout/content organization and accessibility guidelines.
• Translate analytical results into actionable recommendations and present findings to both technical and non-technical audiences.
• Partner with stakeholders to understand business needs, operational challenges, and data requirements.
• Refine and maintain data transformation pipelines to ensure data quality, reliability, and alignment with business logic.
• Develop and maintain self-service analytics tools and reusable data assets for end users.
• Document data models, business logic, transformation processes, and analytics workflows.
• Collaborate with data engineers, business analysts, and other stakeholders to deliver integrated data solutions.

Required Qualifications

• Active TS/SCI clearance (required for consideration).
• Ability to complete and maintain additional customer suitability screenings throughout employment.
• Current Security+ certification (or higher/equivalent).
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline, plus 8+ years of relevant experience. Additional experience may be considered in lieu of degree.
• Experience designing and building data visualizations and dashboards using Kibana.
• Hands-on experience with data cleaning, transformation, and analysis using tools such as Python (pandas, numpy), SQL, or R.
• Strong understanding of data modeling, ETL processes, and data pipeline development.
• Ability to translate business requirements into technical solutions and actionable insights.
• Excellent communication skills, including presenting complex findings to diverse audiences.
• Experience with version control systems (for example, Git) and collaborative development environments.
• Strong attention to detail and commitment to data quality and reliability.
• Strong communication and documentation skills for collaboration and knowledge sharing.
• Experience with application integration design and strong communication skills for collaboration with virtual teams.

Tools and Technologies

ServiceNow, Elastic, Kafka, AWS, RedHat, TS/SCI clearance, Security+, Kibana, Python, pandas, numpy, SQL, R, Git, Elasticsearch, Logstash, Tableau, Power BI, Grafana, JIRA, Confluence, Azure, GCP, ELK Stack, CI/CD, Kubernetes.

What to Expect

• Early-stage flexibility with partial telework during initial development phases.
• As the program matures, full-time on-site presence at a secure facility in Washington, DC will be required.
• Working in a collaborative, Agile environment where your input shapes the architecture from day one.
• Dev platform based on ServiceNow, Elastic, Kafka, AWS, and RedHat.

Benefits

• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement