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Top Entry Level Data Engineer Jobs in San Diego, CA

39+ Job Results
17 Days Ago
United States
Remote
371 Employees
Entry level
371 Employees
Entry level
AdTech • Marketing Tech
As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.
19 Days Ago
United States
Remote
775 Employees
Entry level
775 Employees
Entry level
Agency • Marketing Tech
The Data Strategist will manage measurement strategies for marketing campaigns, leveraging data analysis, statistical modeling, and customer insights. Key responsibilities include identifying performance insights, maintaining client relationships, presenting findings, and improving reporting processes.
20 Days Ago
United States
Remote
115 Employees
70K-90K Annually
Entry level
115 Employees
70K-90K Annually
Entry level
Artificial Intelligence • Information Technology • Machine Learning
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.
Top Benefits:
401-K
Company Equity
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+39 More
23 Days Ago
USA
Remote
2,331 Employees
Entry level
2,331 Employees
Entry level
Machine Learning • Natural Language Processing
As an Entry-Level AI Data Rater, you will engage in data management tasks such as data annotation and rating to help improve AI models. You will follow project guidelines, conduct research, and collaborate with teams to ensure data accuracy. This role offers a flexible schedule with comprehensive learning support for entry-level candidates.
24 Days Ago
USA
Remote
424 Employees
70K-90K Annually
Entry level
424 Employees
70K-90K Annually
Entry level
Insurance • Financial Services
As a Junior Data Engineer, you will build and support data migration staging environments and warehouses, assist with business and regulatory reporting, profile downstream data for anomalies, collaborate with QA to develop test cases, and create reporting scripts while reviewing peer work.
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