Senior Analytics and Visualization Engineer
$104,000–$166,000 year
On-siteHerndon, Virginia, United States or Annapolis Junction, Maryland, United States
Job Summary
Translate ambiguous stakeholder needs into dashboard concepts, KPIs, and analytical workflows for the BNATCS CTO Digital Command Center. Define information architecture, filters, and drilldowns, then design, validate, and maintain interactive decision-support products using AI, prompt-driven development, and low-code tools. Assess data quality, lineage, and usability while partnering with data teams and mission stakeholders to ensure outputs are accurate and traceable. Create clear data narratives explaining trends, dependencies, and actionable insights for technical and executive audiences. Lead product demonstrations and briefings, gather user feedback for backlog prioritization, and contribute to visualization standards and metric catalogs.
Required Qualifications
- 8+ years of experience with a BS/BA, 6+ years with a MS/MA, or 3+ years with a PhD in Data Science, Computer Science, Information Systems, Analytics, Statistics, Mathematics, Operations Research, Human-Computer Interaction, Data Visualization, or a related technical discipline
- Hands-on proficiency with Python, SQL, JavaScript, TypeScript, R, or similar languages
- Proficiency with one or more dashboard or visualization platforms
- Experience working with relational data, JSON, CSV, Parquet, APIs, and cloud-hosted datasets
- Strong understanding of data visualization, information hierarchy, user interaction, and dashboard usability
- Familiarity with LLMs, prompt engineering, AI-assisted code generation, and human-in-the-loop review
- Experience developing production-quality dashboards, analytical applications, data visualizations, or decision-support products
- Experience defining and validating metrics, KPIs, analytical logic, trend analyses, scoring models, or decision-support methods
- Experience translating operational or stakeholder needs into analytical requirements and measurable outputs
- Ability to inspect, validate, and troubleshoot AI-generated code, queries, metrics, and analytical outputs
- Demonstrated ability to communicate findings—through visual storytelling, concise narratives, and decision-oriented recommendations—to senior leaders, customers, product owners, or operational stakeholders
- Strong analytical judgment, creativity, communication skills, and comfort working with evolving requirements
- US Citizenship with ability to obtain/maintain an FAA Public Trust
Desired Qualifications
- Experience with Tableau, Power BI, Grafana, Plotly, Dash, Streamlit, Superset, Qlik, Looker, D3.js, React, Vega-lite, Highcharts, ECharts, or ArcGIS
- Experience with Databricks, Snowflake, Microsoft Fabric, Azure Synapse, data lakes, data warehouses, or lakehouse architectures
- Familiarity with ETL/ELT, data pipelines, APIs, metadata, lineage, data catalogs, data quality, schemas, or streaming data
- Experience with agentic AI architectures—including RAG, context engineering, tool-using agents, and structured output validation—and frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex
- Experience with forecasting, anomaly detection, risk scoring, dependency analysis, schedule analytics, scenario analysis, simulation, optimization, or geospatial analysis
- Experience with product discovery, design thinking, wireframing, prototyping, usability testing, accessibility, Section 508, and color-blind-safe visualization design
- Experience supporting FAA, NAS, aviation, air traffic operations, transportation, defense, command centers, infrastructure modernization, or other safety-critical operational environments
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