Data Engineer
Job Description
Amatriot Group, LLC is hiring a Data Engineer to support 100% onsite work in Washington, DC, with Top Secret/SCI clearance requirements. The role centers on preparing and transforming data for analysis and delivery, including building interactive dashboards and analytics tools using Kibana.
This position is focused on gathering and validating data, designing transformation pipelines, and communicating insights clearly to technical and non-technical stakeholders. The ideal candidate brings experience across data modeling, ETL, visualization, and collaboration in security-conscious environments.
Role Summary
- Gather, clean, and validate data from multiple sources to ensure accuracy and usability
- Design and develop data transformation pipelines and maintain data quality
- Create interactive dashboards and analytics tools using Kibana
Responsibilities
- Gather, clean, and validate data from multiple sources to ensure accuracy, consistency, and usability
- Analyze complex datasets to identify trends, patterns, and insights that answer operational and business questions
- Design and develop interactive dashboards, reports, and visualizations using Kibana
- Apply visual design fundamentals such as visual hierarchy, proximity, similarity, font selection, color theory, and accessibility guidelines
- Translate analytical results into actionable recommendations and present findings to technical and non-technical audiences
- Engage 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
- Work with data engineers, business analysts, and other stakeholders to deliver integrated data solutions
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline, plus 8+ years of relevant experience (additional experience may be considered in lieu of degree)
- Active TS/SCI clearance
- Willingness to complete and maintain additional customer suitability screenings throughout employment
- Security+ certification (current) or higher/equivalent
- Demonstrable experience designing and building data visualizations and dashboards using 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
- Excellent communication skills, including the ability to present complex findings to diverse audiences
- Experience with version control systems (e.g., 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 in application integration design and strong communication skills for collaboration with virtual teams
Technologies
- Kibana, Python (pandas, numpy), SQL, R, Git
- Elastic Stack, Elasticsearch, Logstash, ELK Stack
- Tableau, Power BI, Grafana
- AWS, Azure, GCP
- JIRA, Confluence, Kubernetes, CI/CD, DevOps, Atlassian
- AWS GovCloud
- Text mining tools and techniques
Preferred Qualifications
- Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for data analysis and visualization
- Experience with other data visualization tools such as Tableau, Power BI, Grafana, or similar
- Experience developing self-service analytics solutions and reusable data assets
- Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence)
- Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies
- Knowledge of data governance, security, and compliance best practices
- Experience documenting data models, business logic, and transformation processes
- Experience working in mission-driven or operational environments
- Experience developing and deploying software in a DoD environment (DISA experience is a plus)
- Experience with DISA and DoD Networks
- Understanding of network routing devices and network device configurations
- Experience with text mining tools and techniques, including ELK Stack for summarization, search, and entity extraction
- Familiarity with CI/CD techniques, containerized pipelines, and DevOps practices
- Familiarity with Kubernetes deployment, Agile methodologies, and tools
- Familiarity with AWS GovCloud and cloud infrastructure, including networking and security policies
- Experience working remotely with a geographically dispersed team
- Excellent communication and collaboration skills with the ability to engage with customers and stakeholders
Location: Washington, DC (onsite). Compensation: USD 125,000 to 150,000 per year. Experience: 8 years minimum.
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