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
