Senior Data Engineer

World Wide Technology

United States

Remote

USD 89,544 - 96,432

Full time

14 days+

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Job summary

A global technology company in the United States seeks a Data Visualization Engineer to design and optimize high-quality observability dashboards and analytics solutions. The ideal candidate will have strong experience with Datadog and Splunk, emphasizing usability and performance. Responsibilities include building and maintaining dashboards, collaborating with stakeholders for data clarity, and ensuring effective migration of visualizations. This mid-senior level contract role provides competitive compensation and opportunities for professional growth.

Qualifications

3–5+ years of experience in data visualization, analytics engineering, or observability tooling.
Hands-on experience with Datadog dashboards, metrics, and logs.
Strong experience building dashboards and searches in Splunk.

Responsibilities

Design, build, and maintain dashboards in Datadog.
Collaborate with stakeholders to understand data needs.
Migrate dashboards and alerts from Splunk to Datadog.

Skills

Data visualization

Analytics engineering

Data analysis

Strong communication

Problem-solving

Tools

Datadog

Splunk

SQL

Python

Terraform

Job description

World Wide Technology provided pay range

This range is provided by World Wide Technology. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$65.00/hr - $70.00/hr

Direct message the job poster from World Wide Technology

Talent Acquisition and Global Strategic Resourcing at World Wide Technology

Worldwide Technology is looking for a Data Visualization Engineer. This job is part of WWT’s Strategic Resourcing services. The candidate will be supporting a WWT customer and will be employed by one of WWT’s preferred partners.

Role: Data Visualization Engineer

Remote CST/EST hours

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.
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.
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 GCP).

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.

Rate/Salary: A reasonable estimate of the current pay range for this position is $65.00 to $70.00 per hourly on C2C. Actual pay will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs, and will be set by your employer. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in base pay.

If you have any questions or concerns about this posting, please email SRpostings@wwt.com

Seniority level