Data Engineer Jobs in Frisco, TX

Design and develop data models and pipelines, optimize data processes, collaborate with teams, enforce data governance, and handle large-scale data sets.

Design and develop data models and pipelines, optimize data systems, collaborate with teams, enforce data governance, requiring 5-7 years of data engineering experience.

Seeking a Senior Data Engineer for the Risk Data Team to lead technical discussions, build scalable data systems, and ensure data quality. The role requires deep production data engineering expertise and people leadership skills.

Lead design and build of scalable Databricks-based data pipelines and AI solutions for eCommerce. Develop near-real-time dashboards, automated data quality, anomaly detection and churn models, LLM integrations and AI agents, CI/CD for ML, cost/governance tooling, and operational monitoring to improve reliability and engineering productivity.

Lead the development of AI data pipelines, improve data capabilities, integrate AI solutions, mentor team members, and ensure operational efficiency.

The Data Engineer II designs, develops, and maintains data integration and analytics solutions, ensuring data quality and accessibility for business stakeholders, while collaborating with teams to meet business needs.

The Data Engineer will design, develop, and implement data solutions, ensuring data integrity and availability, collaborating with stakeholders to meet business analytics needs.

The Lead AI Enterprise Data Engineer will build scalable data pipelines, AI models, and dashboards for eCommerce analytics, enhancing platform reliability and engineering productivity.

Design, build, and operate scalable data architectures and ETL/ELT pipelines across cloud and on-prem systems; enable ML/analytics, ensure data quality and compliance, mentor junior engineers, and support 24/7 reliability.