Top Data Engineer Jobs in San Diego, CA
The Staff Research Lead will oversee research projects in drug discovery, focusing on real-world data studies and patient-centric insights. Responsibilities include translating research questions into study designs, managing projects using agile tools, collaborating with cross-functional teams, and working with diverse data types using R and Python in cloud environments.
The Specialist in People Data and Payroll Administration is the first point of contact for employees, leaders, candidates, and retirees. They handle customer service inquiries related to HR policies and procedures, investigate queries, provide administrative support, maintain personnel files, and ensure confidentiality of information. The role involves triaging requests and suggesting improvements for HR processes.
As a Senior Data Engineer, you will design, develop, and maintain data platforms to support organizational data needs, build scalable data ingestion pipelines, lead data governance efforts, and collaborate with Data Scientists and Product Managers to implement data models and ETL processes, predominantly using AWS technologies.
As a Senior Data Engineer at Carrum, you will develop and maintain solutions for data ingestion, processing, and modeling. You'll collaborate with teams to understand data needs, support HIPAA compliance, and build a robust data foundation including pipelines, ETL processes, and reporting systems.
As an Intermediate Data Engineer, you will develop new product features and enhance existing products using ETL (Python + SQL), ETL Pipelines (Airflow), and API (Go) development. This role involves participating in the entire product lifecycle, ensuring the reliability and efficiency of data processing solutions.
The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.
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As a Senior/Staff Data Engineer at StackAdapt, you will design scalable real-time data pipelines, implement architectural improvements for big data ML pipelines, and work on microservice architectures for ML models. You'll collaborate with data scientists and engineers to solve complex issues within digital advertising.
The Data Engineer 4 role involves developing and overseeing the company's data systems, optimizing database solutions, managing data migrations, and ensuring compliance with regulations. The incumbent will analyze data needs, recommend improvements, and collaborate with product teams for strategic initiatives, ultimately enhancing customer experiences.
As an Analytics Engineer at Beam, you will collaborate with various teams to enhance data usability and reliability, develop and maintain the data warehouse, and implement software engineering best practices in analytics processes.
The Senior Analytics Engineer will lead the establishment of data infrastructure, design data warehouses, and build data models and ETL pipelines to enhance product analytics and user engagement. This role balances strategic design and hands-on implementation while collaborating with leadership to address business requirements and promote data literacy.
Top Companies in San Diego, CA Hiring Data + Analytics Roles
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