Top Data Engineer Jobs in Santa Cruz, CA

The role involves creating and managing simulated accounts across various industries, maintaining account functionality and recording daily clock-ins and clock-outs for employees. It is a full-time position with 8-hour workdays.

The Data Privacy Senior Consultant will manage client initiatives to improve data protection processes, collaborating with stakeholders and implementing new technologies. Responsibilities include creating privacy programs, understanding privacy regulations, executing assessments, and providing client recommendations.

As the Lead Analytics Engineer, you will design and optimize data architectures and pipelines to empower various functional leaders. Your role involves translating business requirements into scalable data models, developing reports, and utilizing advanced analytics skills to drive data-driven decision-making while collaborating with cross-functional teams and mentoring junior engineers.

As a Staff Machine Learning Engineer, you will design and develop scalable ML platforms and services, define and maintain Machine Learning data pipelines, productionize models, optimize performance, automate workflows, and promote best software engineering practices. You'll collaborate with cross-functional teams to drive ML roadmap and architectural decisions while improving productivity through shared tools.

The Data Architect will support and enhance the Data & Analytics platforms for machine learning and artificial intelligence on Google Cloud Platform. Responsibilities include analyzing performance bottlenecks, leading projects, designing applications, collaborating with architecture teams, and ensuring project compliance with standards and best practices.

The Data Privacy Specialist oversees the B2B reporting process, leads improvements by developing new SOPs, mentors team members, dedicates time to project work, and resolves operational challenges.

As a Machine Learning Optimization Evangelist, you will educate the ML community on optimizing their training and inference workloads. Your role includes publishing technical blog posts, contributing to documentation, speaking at conferences, producing webinars, and collaborating with strategic partners to enhance the usage of Hugging Face models on various compute platforms.