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Responsibilities:

Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis.
Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization.
Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems.
Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets.
Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability.
Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions.
Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data.
Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.

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Find & Apply For Data Engineer Jobs in Arlington, Texas

Data Engineer

Senior Data Engineer