Top Data Engineer Jobs in San Diego, CA
As a Data Engineer, you will design and deploy data pipelines for processing and analyzing data, utilizing various machine learning techniques and software development to extract valuable insights. Responsibilities include modifying existing software, managing client data, and developing solutions for data wrangling.
As an Automation Engineer, you will develop tools to help automate tasks, build proof-of-concept AI workflows, create a reusable component library, and optimize CI/CD pipelines while ensuring high uptime for automation APIs.
As a Staff Software Engineer on the Marketing Data Science team, you will lead R&D for data science products, collaborate with engineering and product teams, support stakeholders, and educate colleagues on data science applications in marketing and advertising.
As a Senior Analytics Engineer at Tint, you will be responsible for designing and implementing data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver insights efficiently. This role involves leading data initiatives, mentoring junior team members, and influencing data strategy and architecture to inform key business decisions.
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Principal Machine Learning Engineer needed at Twilio to spearhead ML/AI focused research projects, build prototypes, and explore emerging technologies. Responsibilities include researching new ML and AI technologies, building prototypes, collaborating with cross-functional teams, and influencing steering committee discussions on AI usage. Must have 10+ years of hands-on engineering experience.
The Data Operations Manager at Ask Media Group will lead a diverse team of machine learning engineers and analytics professionals to design and develop next-generation big data and data insights platforms. Responsibilities include managing revenue tracking systems, architecting scalable data pipelines, collaborating with the data science team, and evaluating new technologies.
Seeking a skilled Data Operations Engineer to support data annotation production processes by optimizing, maintaining, and scaling data labeling workflows using tools like Labelbox. Responsibilities include scripting in Python, identifying bottlenecks, integrating third-party tools, and providing technical support to project managers and labelers.
Support the Data Migrations Profession Services Teams, engage in complex debugging and remediation, build solutions, automate issue detection, contribute to migration improvements, participate in On-Call schedule rotation, write data defect reports, participate in Code Reviews and Lessons Learned sessions.
The Sr. Oracle Database Administrator is responsible for maintaining, securing, and optimizing Oracle databases for the Asset Suite 9.6 system. Key tasks include implementing backup strategies, ensuring database availability, performing routine maintenance, and conducting audits. The role involves collaboration with system administrators to uphold database integrity and security.
Design and implement enterprise-wide data strategies, manage data engineering assets, collaborate with cross-functional teams, ensure data integrity and security, develop data models, and lead data governance initiatives.
Top Companies in San Diego, CA Hiring Data + Analytics Roles
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