Kibana Data Visualization Engineer - TS/SCI, Onsite DC

tetraddigitalintegrityllc; Washington (District of Columbia); On-site; USD 130,000 - 145,000; Full time

Job summary

Tetrad Digital Integrity (TDI) seeks a Data Analyst to join a brand-new Agile development team in the Washington, DC area. This onsite role requires an active TS/SCI clearance and involves building dashboards and data pipelines to support federal IT modernization initiatives.

You will gather and clean data, develop Kibana-based visualizations, and translate insights for technical and non-technical stakeholders while collaborating with data engineers and analysts to deliver integrated data

Qualifications

• Bachelor's degree required or equivalent experience
• 8+ years of relevant data analytics experience
• Experience designing/building data visualizations with Kibana
• Strong data cleaning, transformation and analysis skills

Responsibilities

• Gather, clean, and validate data from multiple sources
• Analyze datasets to identify trends and insights
• Design and develop dashboards/reports using Kibana
• Translate results into actionable recommendations for stakeholders
• Maintain data transformation pipelines and data quality
• Document data models, logic, and analytics workflows
• Collaborate with data engineers and analysts to deliver solutions

Skills

Kibana dashboards

Data visualization

Python (pandas, numpy)

SQL

R (statistical)

ETL pipelines

Data modeling

Data transformation

Communication

Education

Bachelor's degree in Computer Science/Data Science/Engineering/Mathematics/Statistics

Tools

Elastic Stack (Elasticsearch, Logstash, Kibana)

Tableau

Power BI

Grafana

Git

JIRA/Confluence

Job description

Tetrad Digital Integrity (TDI) seeks a Data Analyst to join a brand-new Agile development team in the Washington, DC area. This onsite role requires an active TS/SCI clearance and involves building dashboards and data pipelines to support federal IT modernization initiatives.

You will gather and clean data, develop Kibana-based visualizations, and translate insights for technical and non-technical stakeholders while collaborating with data engineers and analysts to deliver integrated data