Infrastructure Specialist

5. Infrastructure Specialist

Experience: 5 10 years

Skills:

Big Data Engineering

Dashboard Builder

Data Science

Statistical Analysis

Location: hybrid - 2 days/wk in Frisco, TX

What they'll do:

• Build and support solutions for processing and analyzing large datasets.
• Develop data pipelines and data processing workflows to support analytics and reporting.
• Create dashboards and visualizations that communicate trends, KPIs, and business insights.
• Perform statistical analysis to identify patterns, trends, and anomalies.
• Partner with data scientists, analysts, and technical teams to make data usable and reliable.
• Support data-driven decision-making by translating complex data into understandable insights.

Big data engineers commonly build scalable pipelines and data architectures that support analytics and machine-learning workflows.

Key Skills

• Big Data Engineering
• Dashboard Development / Data Visualization
• Data Science
• Statistical Analysis
• Data processing and data pipelines
• SQL and/or Python
• Data analysis and reporting
• Experience working with large or complex datasets

Ideal Candidate

A Senior Data Engineer / Analytics Engineer who combines strong data engineering skills with hands-on analytics, dashboard development, and statistical analysis.

Good Titles to Target

• Senior Data Engineer
• Big Data Engineer
• Analytics Engineer
• Data & Analytics Engineer
• Data Science Engineer
• Data Analytics Specialist
• Business Intelligence Engineer
• Data Visualization Engineer

Biggest sourcing priority: Because the listed skills span engineering and analytics, I'd target candidates who can build/prepare the data AND analyze/visualize it, rather than a pure Data Scientist or pure backend Data Engineer.