Big Data & Analytics Engineer

About the role

Support enterprise data engineering, analytics, and business intelligence initiatives.

Tasks

• Design, develop, and maintain data engineering solutions to process and transform large datasets.
• Build and maintain interactive dashboards, reports, and data visualizations.
• Perform statistical analysis and exploratory data analysis to identify trends and business insights.
• Apply data science techniques to support predictive and analytical initiatives.
• Develop and optimize data pipelines and workflows for data integration and transformation.
• Collaborate with business stakeholders, data engineers, and analytics teams.
• Ensure data accuracy, quality, consistency, and integrity.
• Translate complex analytical findings into actionable business insights.
• Improve data processes, reporting capabilities, and analytical efficiency.
• Document data models, dashboards, analytical methodologies, and reporting processes.

Requirements

• Experienced Big Data & Analytics Engineer with experience in data engineering, data science, statistical analysis, and business intelligence.
• Experience in Big Data Engineering and large-scale datasets.
• Hands-on experience building dashboards, reports, and visualizations.
• Strong background in data science and statistical analysis.
• Proficiency in Python, SQL, or R.
• Experience with Apache Spark, Hadoop, or Databricks.
• Experience with Power BI, Tableau, or Qlik.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Understanding of data modeling, data integration, and ETL/data pipelines.
• Familiarity with Machine Learning, Predictive Analytics, and advanced statistical modeling.
• Experience developing automated reporting and analytics solutions.
• Local candidates preferred; relocation considered.
• USC Only

Schedule

• Duration: 6–12 Months (Possible Extension)

Location

• Dallas, TX