Data Visualization Engineer

Position: Data Visualization Engineer

Location: Remote

Hiring Mode: 6 Months Contract

Job Description:

We are seeking a Data Visualization Engineer with strong experience building high-quality observability dashboards and analytics solutions. This role will focus on designing and optimizing visualizations in Datadog, including the migration of existing dashboards, reports, and analytics from Splunk. The ideal candidate combines strong technical skills, an eye for clarity and usability, and hands-on experience in observability tools.

Key Responsibilities

Visualization Engineering & Dashboard Development

• Design, build, and maintain high-impact dashboards, notebooks, and visual analytics in Datadog.
• Establish visualization standards, templates, and best practices to drive consistency across teams.
• Create user-friendly visualizations that communicate trends, anomalies, KPIs, SLIs/SLOs, and operational insights.
• Collaborate with engineering, SRE, DevOps, and business stakeholders to understand data needs and convert them into clear visual outputs.

Splunk ? Datadog Migration

• Lead or support the migration of dashboards, alerts, saved searches, and visualizations from Splunk to Datadog.
• Analyze existing Splunk usage patterns and redesign them using Datadog s native visual capabilities.
• Translate complex Splunk queries into Datadog metrics, logs queries, and monitor configurations.
• Ensure dashboards maintain accuracy, performance, and usability after migration.
• Partner with platform teams to optimize data pipelines, tagging, and data structures to support effective visualization.

Data Engineering for Observability

• Work with logs, metrics, and traces to standardize data for use in Datadog visualizations.
• Validate data quality and troubleshoot gaps or inconsistencies in telemetry sources.
• Optimize data ingestion and tagging strategies to support scalable visualization.

Collaboration & Enablement

• Document best practices and create training materials for teams adopting Datadog dashboards.
• Host workshops or office hours to help teams understand and build their own visualizations.
• Provide feedback to platform engineering teams on Datadog performance and visualization needs.

Required Qualifications

• 3 5+ years of experience in data visualization, analytics engineering, or observability tooling.
• Hands-on experience with Datadog dashboards, monitors, notebooks, metrics, logs, and APM.
• Strong experience building dashboards and searches in Splunk (queries, panels, saved searches).
• Demonstrated experience converting Splunk visualizations to Datadog equivalents.
• Strong understanding of logs, metrics, traces, and telemetry data structures.
• Proficiency with SQL and at least one scripting language (Python, Bash, etc.).
• Experience working with cloud platforms (AWS, Azure, or Google Cloud Platform).

Preferred Qualifications

• Familiarity with SRE and observability concepts (SLIs, SLOs, error budgets).
• Experience with Terraform or IaC for managing Datadog resources.
• UI/UX sensibilities for layout, color usage, clarity, and information hierarchy.
• Experience with analytics tools (Tableau, Grafana, Looker, PowerBI) is a plus.

Soft Skills

• Strong communication and visualization storytelling skills.
• Ability to balance technical accuracy with visual clarity.
• Comfortable gathering requirements from both technical and business stakeholders.
• Detail-oriented and quality-focused.