Top Senior Level Data Engineer Jobs in Dallas, TX

The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.

The Geospatial Analytics Data Platform Architect will design and implement geospatial data architectures for large-scale analytics and machine learning using GCP. The role includes establishing data governance frameworks, leading cross-functional teams, and providing geospatial expertise to create innovative data solutions.

Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.

As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.

The Senior Data Engineer will design and architect data pipelines and ETL processes, maintain data lakehouse solutions, optimize data strategies across cloud platforms, mentor junior engineers, and ensure the high availability of data infrastructure while collaborating with data scientists for advanced analytics initiatives.

The Marketing Technology Data Engineer will design and build data solutions for managing and integrating real-time and batch data, focusing on data quality and availability for enterprise clients. The role involves developing data pipelines, implementing CI/CD processes, and collaborating with teams to meet client needs while leveraging Google Cloud services.

The Senior Data Engineer will design, develop, and manage scalable data architectures and pipelines, primarily using cloud platforms like Azure. Responsibilities include data integration, modeling, optimization, and mentoring. The role emphasizes collaboration with cross-functional teams to ensure data infrastructure supports analytics and drives decision-making.