Top Senior Level Data Engineer Jobs in Dallas, TX

As a Lead Data Engineer at Lumos, you will architect and maintain data pipelines to support AI products and analytics, focusing on reliability, scalability, and integration of various data sources to drive business insights.

The Senior Data Developer will develop and maintain data solutions using Python and Azure Databricks, focusing on high-quality coding practices. Responsibilities include managing data infrastructure, cloud services, and troubleshooting within SCRUM/Kanban workflows while applying a DevOps mindset.

The Senior Principal Data Engineer at Northrop Grumman will design, develop, and deploy scalable data architecture solutions while maintaining databases. Responsibilities include data mapping, ETL processes, query development, and collaborating with stakeholders to meet needs and objectives.

As a Senior DBA at the Wikimedia Foundation, you will ensure the health and performance of database systems, manage troubleshooting and maintenance, handle database version upgrades, optimize query performance, design database schema, participate in incident response, and contribute to high availability setups.

The SVP will lead the Data, AI, and Automation organization, driving a strategic transformation across global operations. They will develop and implement a comprehensive AI and data strategy, collaborate with cross-functional teams to integrate solutions, and ensure performance measures align with business outcomes, emphasizing digital innovation and talent development.

As a Database Administrator, you will design, install, configure, and maintain database systems while ensuring their integrity and security. Your role involves troubleshooting, implementing performance tuning, managing backups, disaster recovery processes, and collaborating with technology teams. You'll also support Azure SQL instances and develop future compliance roadmaps.

As a Lead Data Engineer, you will design and architect cloud data lakes, implement tabular data formats, develop scalable data platforms, and collaborate with AI teams to enable data pipelines for model training and inference while ensuring data quality and governance.