Work in an agile environment, collaborate with business users to gather requirements and design, develop, test, and implement data engineering and analytics solutions that provide insights to make better decisions; Implement data migration and data engineering solutions using Azure Data LakeStorage, Azure Data Factory, Azure Databricks, Azure Stream Analytics, Event Hub and traditional data warehouse tools; Develop Azure Data Factory pipelines to orchestrate ETL jobs; Develop Azure Stream Analytics jobs to process real-time data using Azure Event Hub; Develop complex Databricks jobs using PySpark and Spark SQL; Design, develop, implement, and maintain large-scale business intelligence (Bl) and data visualization programs using Tableau and PowerBI; Perform data quality testing and assurance as a part of designing, building, and implementing scalable data solutions.

Location: Will work in Irving, Texas and/or various client sites throughout the United States. Must be willing to travel and/or relocate.