Top Senior Level Data Engineer Jobs in Dallas, TX

The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.

As a Senior Data Manager, you will acquire, clean, and develop datasets supporting business analysis and reporting. You will work on data architecture and lifecycle management while ensuring data reliability and accessibility. Responsibilities include collaborating with business units, translating needs into technical requirements, and preparing data for visualization and reporting.

The Educational Data Analyst/Engineer will design, implement, and maintain data dashboards for K-12 school districts, ensuring accurate database management using SQL and automating processes with Python. The role involves collaborating with educational stakeholders to meet their data analysis needs and provide support for data quality issues.

As a Lead Data Engineer, you will architect, build, and maintain advanced data pipelines to support AI products and analytics at Lumos. The role emphasizes the reliability, testing, and scalability of the data infrastructure, while collaborating with various teams to enhance business insights and product value.

The Data Engineer will design, develop, test, and deploy scalable data architecture solutions, handle complex queries for data extraction, and support data collection platforms while collaborating with stakeholders to meet business needs.

As a Senior Database Administrator at the Wikimedia Foundation, you will manage database systems, focusing on troubleshooting, optimization, and maintenance tasks in a fast-paced environment. You will implement and monitor relational database systems, upgrade versions, and contribute to the overall performance and reliability of high-traffic websites used globally.

The Lead Data Engineer will design and implement cloud data lakes and large-scale data architectures. Responsibilities include collaboration with AI/ML teams, establishing data governance, and mentoring junior engineers. This role requires expertise in big data technologies, tabular data formats such as Apache Iceberg and Parquet, and proficiency in cloud platforms like AWS, Azure, or GCP.