Top Remote Entry Level Data Engineer Jobs in San Diego, CA
As a member of the Data Ops team, you will process investment data from venture capital firms, analyze financial statements, assist in onboarding new customers, ensure data accuracy, and collaborate with various departments to streamline data workflows.
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
As a Python Data Engineer, you'll build and maintain data ingestion and streaming infrastructure, evolve web crawling systems, and create ETL pipelines connecting to APIs and datasets while collaborating with global engineering teams.
This position involves supporting students in data analytics boot camps through various roles such as Teaching Assistants, Tutors, Learning Assistants, and Graders. Responsibilities include facilitating lessons, providing one-on-one support, engaging with students on structured schedules, and offering detailed feedback on assignments.
As a Data Engineer at Coinbase, you will build and maintain data solutions, design robust data pipelines, ensure data quality, and develop automation tools to enhance data science processes and empower user access to accurate data.
The Data Editor will lead efforts to create and integrate data for WSJ Pro products, enhance data journalism, oversee datasets, and collaborate with bureau chiefs. They will facilitate the development of usable data for financial professionals and engage in data visualization strategies.
The Data Engineer will design and build data products including data lakes and repositories, participating in all stages of data pipeline development and working closely with cross-departmental stakeholders.
The role involves building and maintaining comprehensive account databases for clients, researching and identifying relevant companies, and validating B2B data accuracy. A skilled B2B Data Developer will utilize data mining techniques and collaborate with internal teams to tailor data collection to client needs.
As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.
Design and build data models, BI dashboards, and applications to solve business problems. Collaborate with a team to understand data and business needs. Support program management and troubleshoot issues. Recommend technical developments and optimize solutions. Continuous learning and development in BI tools, cloud platforms, databases, and version control systems.
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