Top Data Engineer Jobs in Santa Cruz, CA

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

The AI engineer will develop and implement AI models, collaborate with teams, deploy applications, and ensure system performance and scalability.

Design and implement strategies for managing risk and optimizing DeFi protocols, develop tools, build data pipelines, and maintain modeling platforms.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Senior Mainframe IMS Database Administrator oversees maintenance, design, and performance of client databases in IMS environments, ensuring optimal efficiency and recovery strategies.

Join Recorded Future's Talent Network as a Data Engineer, focusing on Python, ETL pipelines, and web scraping. Stay updated for future opportunities.

The Data Modeling and Integration Lead is responsible for shaping data management practices, building data models, integrating systems, and creating data products and dashboards to support organizational decision-making and impact.

You will design and build data-driven Streamlit apps, automate analytics pipelines, and monitor application performance while collaborating with platform engineers.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.