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.