Top Remote Data Engineer Jobs in Santa Cruz, CA

The Staff Machine Learning Engineer will shape the technical vision for credit and underwriting platforms, providing architectural direction while actively coding to solve complex challenges. Responsibilities include mentoring engineers, refining distributed systems, and collaborating with cross-functional teams to enhance feature delivery and engineering excellence.

The Senior Machine Learning Engineer will design and maintain ML infrastructure, develop and deploy machine learning models, monitor performance, collaborate with teams, and mentor junior engineers at Kikoff, a consumer fintech startup focused on credit-building solutions.

The Big Data DevOps Lead will enhance Big Data infrastructure efficiency, coordinate inter-team initiatives, and lead architecture efforts. Responsibilities include maintaining system reliability, deploying monitoring tools, and implementing disaster recovery practices. On-call support for production systems is also required.

The Senior Database Administrator is responsible for the management of customer production data, providing technical leadership, collaborating with production teams, and handling database performance issues. The role includes capacity planning, performance tuning, and emergency support, ensuring efficient database operations within the organization.

As a Data Analytics Engineer at Voltage Park, you will design and optimize customer-focused tools to improve the Customer Experience (CX) and automate processes related to downtime tracking, billing, and real-time system performance reporting. You will aggregate and analyze data from various sources to enhance insights and streamline workflows between teams.

As Director of Data Science and AI at Cisco Meraki, you will lead a growing team to apply quantitative methods and develop machine learning models that enhance customer value and drive product development. Your role will involve strategizing AI use cases, overseeing AI/ML solution deployment, and improving data infrastructure in collaboration with various partners across the organization.

As a Data Engineer on the Marketing Data Engineering team, you will build and maintain data infrastructure to support Square's revenue growth. You will develop data pipelines, analyze data sources, monitor execution, resolve discrepancies, and improve pipeline efficiency, directly impacting key business decisions.