Top Data Engineer Jobs in San Diego, CA
As a Machine Learning Engineer, you will design and develop AI and machine learning applications for clients, conducting experiments and collaborating with engineers to create scalable solutions while engaging in client-facing activities and staying updated on machine learning advancements.
As a Senior Data Scientist, you will lead the development of machine learning models to understand user engagement at Twitch, utilizing software engineering skills for model training, testing, deployment, and monitoring while providing insights on viewer behavior.
As the Advisor of Data Science and Advanced Analytics at Ciena, you will enhance the company's analytics capabilities by transitioning from descriptive analytics to predictive and prescriptive analytics. Responsibilities include collaborating with business teams to identify data-driven solutions, preparing data for analysis, developing statistical and machine learning models, deploying data models into production, and ensuring data quality and security.
The Data Engineer is responsible for designing and maintaining data structures, ensuring accuracy and accessibility of data, assessing existing data architecture, supporting BI reporting needs, and creating quality standards for data integrity, while working with clients to meet their data management needs.
The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.
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As a Staff Data Engineer at BeyondTrust, you will optimize data workloads, develop new data processing routes, maintain data workflows, and create ML solutions, all while ensuring high performance in cybersecurity products.
The Technology Partner is a leadership role focused on providing technology expertise in Data and Insights solutions, engaging with clients for transformative initiatives, creating technology solutions, overseeing engineering talent, and enhancing data management practices. The role combines strategic advisory, mentoring, and pre-sales responsibilities to drive business value through advanced analytics.
As an AI Researcher at Labelbox, you'll develop advanced systems that utilize human feedback like RLHF to enhance AI training processes. Your work includes measuring data quality and creating AI-assisted tools to improve labeling efficiency, pushing AI capabilities to new heights.
As a Data Engineer at Legalist, you will design and develop scalable data pipelines, collaborate with cross-functional teams to meet data needs, and optimize data pipeline performance. Responsibilities include developing ELT processes, participating in agile development, and applying best practices in data modeling.
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The Senior IMS Mainframe DBA will create, maintain, design, and troubleshoot client databases, focusing on IMS environments. Responsibilities include database software upgrades, daily maintenance, backups, monitoring, performance optimization, and on-call support. They will collaborate with vendors and develop best practices for database management, ensuring security and efficiency.
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