Top Remote Data Engineer Jobs in San Diego, CA
The Lead Data Engineer will manage and mentor a data engineering team to deliver data solutions for clients. Responsibilities include overseeing data pipeline development, ensuring client integrations, applying data best practices, and managing project timelines while contributing hands-on to technical decision-making and code reviews.
The Data Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.
The Principal Data Engineer will design, develop, and maintain ETL pipelines for data acquisition and transformation. Responsibilities include collaborating with teams to understand data needs, utilizing AWS Glue, optimizing ETL processes, and applying data governance practices. The role requires strong technical skills in Python, Spark, and SQL, along with experience in data matching and analytics.
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The Senior Data Engineer will construct applications for global operations, collaborate with engineering and product teams, enhance existing systems, and develop new functionalities. The role involves working with large-scale data technologies and solving complex problems in a team-focused environment.
As a Senior Database Administrator, you will design, implement, and maintain scalable database systems in an AWS-Native environment. Your role includes modernizing database infrastructure, troubleshooting complex issues with development teams, and implementing robust backup and recovery processes to ensure data integrity and availability.
The Senior Analytics Engineer will lead the transformation layer of the data platform, integrating data from various systems and ensuring high data integrity and accessibility. Responsibilities include developing scalable integration patterns, maintaining change management, collaborating with teams across the company, and ensuring quality in new data models.
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 Architect at Expel will evolve the data architecture for improved data lineage, quality, and governance. This role involves optimizing legacy systems, integrating new data patterns, and collaborating with teams to enhance data pipelines and storage. Strong leadership skills are necessary to guide multiple teams towards a mature data strategy.
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.
Top remote Companies in San Diego, CA Hiring Data + Analytics Roles
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