Data Engineer
Job Description
Amatriot Group, LLC is seeking a Data Engineer for a 100% onsite role in Washington, DC with Top Secret/SCI clearance requirements.
Responsibilities
- Gather, clean, and validate data from multiple sources to support accurate, consistent, and usable outputs.
- Analyze complex datasets to uncover trends, patterns, and insights tied to operational and business questions.
- Design and develop interactive dashboards, reports, and visualizations using Kibana to clearly communicate findings to stakeholders.
- Apply visual design fundamentals in deliverables, including visual hierarchy, proximity, similarity, font selection, color theory, and awareness of visual/layout/content organization and accessibility guidelines.
- Convert analytical results into actionable recommendations and present findings to both technical and non-technical audiences.
- Collaborate with stakeholders to understand business needs, operational challenges, and data requirements.
- Refine and maintain data transformation pipelines, ensuring data quality, reliability, and alignment with business logic.
- Develop and maintain self-service analytics tools and reusable data assets for end-user empowerment.
- Document data models, business logic, transformation processes, and analytics workflows for transparency and knowledge sharing.
- 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 a related technical discipline and 8+ years of relevant experience (additional experience may be considered in lieu of degree).
- Active TS/SCI clearance.
- Ability to complete and maintain additional customer suitability screenings throughout employment.
- Security+ certification or higher (or equivalent).
- Proven experience designing and 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, and data pipeline development.
- Ability to translate business requirements into technical solutions and actionable insights.
- Strong communication skills, including presenting complex data to diverse audiences.
- Experience with version control and collaboration in development environments (e.g., Git).
- 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 ability to collaborate 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 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 with Agile methodologies and related tools, including Atlassian tools (JIRA, Confluence).
- Strong understanding of Agile methodologies, including Scrum and SAFe.
- Experience working remotely with a geographically dispersed team.
- Excellent communication and collaboration skills with customers, stakeholders, and team members.
Location & Compensation
- Location: Washington, DC (onsite)
- Salary: USD 125,000 - 150,000 per yearly
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