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Top Data Engineer Jobs in Santa Cruz, CA

Reposted 14 Days Ago
Remote
US
Expert/Leader
Expert/Leader
Financial Services
In this role, you will lead the AI and data strategy for 1848 Ventures, creating innovative solutions and overseeing the development and deployment of AI applications. You'll collaborate with cross-functional teams and build a high-performing AI team, ensuring data governance and ethical practices while driving business value through advanced data strategies and machine learning models.
Top Skills: AIData GovernanceData ManagementData StrategyMachine Learning
Reposted 14 Days Ago
Remote
United States
Entry level
Entry level
Big Data • Cloud
Trace3 is seeking individuals to join their Data Intelligence Team, focusing on technology solutions and consulting. The role emphasizes innovation, teamwork, and results-driven outcomes, promoting a collaborative culture while offering growth opportunities.
Reposted 14 Days Ago
Remote
USA
Senior level
Senior level
Marketing Tech • Real Estate • Software • Business Intelligence • PropTech • Generative AI • Big Data Analytics
Lead a team of engineers to design and maintain data pipelines, ensuring scalability and performance. Allocate resources effectively, provide guidance, monitor project progress, and foster a culture of innovation. Stay updated on industry trends and handle technical issues to support product enhancements.

Featured Jobs

Reposted 14 Days Ago
Remote
USA
Junior
Junior
Software
As a Python Data Engineer, you will build and maintain data ingestion and streaming infrastructure, develop ETL pipelines for data integration, and collaborate with global engineering teams.
Top Skills: AWSDockerK8SKafkaPythonSQL
Reposted 14 Days Ago
Remote
4 Locations
130K-267K Annually
Mid level
130K-267K Annually
Mid level
Social Media
As a Machine Learning Engineer at Pinterest, you will build technologies to personalize user experiences, improve machine learning models across various product surfaces, and keep up with industry trends in recommendation systems while leveraging large-scale data and quick experimentation.
Reposted 14 Days Ago
Remote
8 Locations
Senior level
Senior level
Mobile • Software
As a Senior Machine Learning Engineer, you'll bridge the gap between data science and ad systems engineering, developing solutions for model experimentation, monitoring, and pipelines, while driving innovation and best practices in machine learning systems.
Reposted 14 Days Ago
Remote
Hybrid
United States
230K-322K Annually
Senior level
230K-322K Annually
Senior level
Information Technology • Mobile • News + Entertainment • Social Media
As a Staff Machine Learning Engineer at Reddit, you'll build optimization algorithms for ad campaigns while leading a team. You will work on real-time auction data to improve bidding efficiency and conduct experiments to measure impact. Collaboration with cross-functional teams and technical leadership are key aspects of this role.
Reposted 14 Days Ago
Remote
3 Locations
Senior level
Senior level
Big Data • Information Technology • Software • Database • Analytics
The Machine Learning Engineer will develop machine learning solutions to enhance data activation products, focusing on personalization, automated experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, predictive modeling, and working with machine learning infrastructure in a remote-first environment.
Reposted 14 Days Ago
Remote
USA
180K-212K Annually
Senior level
180K-212K Annually
Senior level
Cloud • Fintech • Cryptocurrency • NFT • Web3
As a Senior Data Scientist, you will provide technical mentorship, build models to quantify impact on the platform, develop experimentation techniques, and create features to identify customer issues. The role focuses on navigating tradeoffs to drive business value across the organization.
Reposted 14 Days Ago
Remote
USA
Senior level
Senior level
Agriculture
The Data Steward will assist the Head of Data Insights in building a data-driven organization by organizing data governance policies, ensuring data compliance, and managing the internal data catalog. This role involves cross-departmental collaboration to optimize data usage and provide support to data users, as well as developing training and communicating data initiatives.
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