Top Remote Data Engineer Jobs in Oklahoma City, OK

The Senior Machine Learning Engineer will enhance a platform for data scientists, lead ML service development, and collaborate cross-functionally to deliver AI solutions.

Lead a team of data engineers and scientists to develop data models and analytics frameworks, ensuring data integration and compliance for financial operations while mentoring team members.

As a CDP Platform Support Analyst, you will optimize audience segments, manage data integrations, and apply AI/ML models for audience segmentation and personalization in a creative setting.

The Sr. Enterprise Data Architect leads alignment of enterprise information architecture with corporate strategy, collaborating across Business and IT to drive data integration and analytics efforts, while managing data architecture roadmaps and governance models.

Lead the design and implementation of advanced ML-based analytics for cybersecurity operations. Oversee data pipeline development and integrate analytics into SIEM platforms while ensuring scalability, performance, and security.

Leading a team of data engineers to develop ETL/ELT solutions, enhance data pipelines for predictive modeling, and communicate insights effectively. Also responsible for data asset management and collaboration across teams for innovative data solutions.

The Senior Data Analytics Engineer designs and implements data models and analytics solutions, oversees data pipelines, and collaborates with teams to drive insights.

The role involves designing complex physics problems, verifying solutions, scaling difficulty, and ensuring real-world relevance for training AI models.

The Data Architect will build and deploy analytics solutions, design scalable data models, and work with various cloud-based technologies to improve healthcare data management.

As a Data Engineer, you will design and maintain data pipelines, transform raw sources into clean, reliable data streams and tackle technical challenges.

In this role, you will design and maintain ETL processes, collaborate with teams for data insights, and utilize various programming tools to enhance operations.