Data Visualization Engineer (Rahway, NJ)

MSD•Rahway, NJ

2d•Hybrid

About The Position

The Data Visualization Engineer will join the Data Insights and Visualization team to design, develop, and operate visual analytics and embedded tools that surface actionable, timely insights from network telemetry. You will be instrumental in integrating agentic AI agents and AIOps capabilities into dashboards and automation workflows so NCOS stakeholders can detect, triage, and resolve issues before they impact the business.

Requirements

Hands-on exposure to large global network infrastructures (routers, switches, LAN, SD‑WAN, firewalls, wireless).
2+ years with network monitoring, reporting, and observability tools such as LogicMonitor, Thousand Eyes, Big Panda, Dynatrace, NetBrain, Grafana Cloud, Zscaler ZDX, or similar.
2+ years building visualizations and dashboards in BI/observability platforms such as Spotfire, Power BI, Grafana (Cloud/OSS), or equivalent.
Proven experience building actionable dashboards and role-based views for executives, product owners, and engineers.
Strong SQL skills for querying, transforming, and validating telemetry and business data.
Experience embedding visualizations in web applications and building reusable visualization components.
Proficiency with one or more general-purpose programming languages and web frameworks: JavaScript (React/Vue), Python (Django/Flask), Java, or similar.
Practical experience applying AI/ML in operations: anomaly detection, forecasting, ranking, or agentic concepts for real-time data analysis and automated insights.
Understanding of safe automation principles: human-in-the-loop control, approval flows, auditability, and explainable agent behavior.
Strong communicator who can translate technical analysis into clear, concise presentations for peers, managers, and executives.
Passion for building simple, well-designed, and highly usable analytics applications that deliver measurable value to stakeholders.
Collaborative team player able to coordinate cross-functional work and deliver on time.
HS Diploma required; advanced degree nice to have.

Nice To Haves

Associate-level developer certifications (AWS, Python, SQL) or equivalent hands-on experience.
Experience with knowledge graphs, causal analysis, or explainable AI applied to root-cause and dependency analysis.
Familiarity integrating agents with ITSM/incident platforms (ServiceNow or similar) and network automation tools (Ansible, or similar).

Responsibilities

Design and deliver end-to-end telemetry analytics and interactive dashboards that combine network flow, metrics, logs, traces, and business context to reduce time-to-insight and time-to-resolution.
Identify, mine and normalize network data sources (e.g., NetFlow, SNMP, syslog, packet captures, telemetry APIs) and integrate them into real-time pipelines and visualization layers.
Develop agentic AI agents and AIOps components that continuously analyze streaming telemetry to detect anomalies, infer root causes, prioritize incidents, and surface proactive recommendations to stakeholders.
Embed AI-driven insights into visualizations and web applications so executives, product leaders, SREs and network engineers receive role-appropriate, actionable views.
Build reusable visualization components, templates, and libraries for NCOS product lines to ensure consistency across routers, switches, firewalls, wireless, SD‑WAN, and core application observability.
Contribute to telemetry data quality improvement, and performance measurement initiatives for critical network components.