1 month ago
Base Salary
$92k - $167k/yr
Responsibilities
- Gather, clean, validate, and analyze data from multiple sources to identify trends, patterns, and operational insights.
- Design and maintain interactive dashboards, reports, and visualizations using Kibana, applying visual design and accessibility principles.
- Translate analytical results into actionable recommendations and present findings to technical and non-technical audiences.
- Engage stakeholders to understand business needs, operational challenges, and data requirements.
- Refine and maintain data transformation pipelines to support data quality, reliability, and business logic.
- Develop 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 on integrated data solutions.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline, with additional experience potentially accepted in lieu of the degree.
- At least 8 years of relevant experience.
- Active TS/SCI clearance and willingness to complete and maintain additional customer suitability screenings.
- Current Security+ certification or higher/equivalent.
- Demonstrable experience building data visualizations and dashboards with Kibana.
- Hands-on experience with data cleaning, transformation, and analysis using 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.
- Experience with version control systems such as Git and collaborative development environments.
- Experience in application integration design, documentation, and collaboration with virtual teams.
- Preferred experience includes Elastic Stack, Tableau, Power BI, Grafana, cloud platforms, big data technologies, data governance, DoD environments, DISA, AWS GovCloud, Kubernetes, containerized pipelines, DevOps practices, and Atlassian tools.
Benefits
- Partial telework is available during the initial development phases.
- Full-time on-site work at a secure facility in Washington, DC will be required as the program matures.
- The role offers a collaborative Agile environment where the employee can shape the architecture from the beginning.
- The program uses a development platform based on ServiceNow, Elastic, Kafka, AWS, and Red Hat.
Tech Stack
Apache KafkaAWSAzureElasticsearchGitGoogle Cloud PlatformGrafanaKibanaKubernetesLogstashNumPyPandasPythonRSQL
Categories
Data Engineering
About Leidos
Leidos builds and operates technology and engineering solutions for defense, intelligence, civil, and health agencies, including systems integration, cyber, enterprise IT, sensors, and healthcare IT. It primarily sells through government contracts and long-term programs, plus managed services and mission software. Founded in 1969 and headquartered in Reston, Virginia, Leidos is a Fortune 500 public company on the NYSE; customers include U.S. defense and intelligence agencies and civil bodies such as the FAA.