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Top Lead Data Engineer Jobs in San Francisco, CA
The Principal Data Engineer will lead the advancement of the Enterprise Data Platform, focusing on data ingestion, transformation, and quality. Responsibilities include designing robust architectures, implementing best practices, mentoring team members, and evaluating new tools. The candidate must have a strong technical background and a deep understanding of data engineering principles, enabling effective collaboration and strategic decision-making within a dynamic environment.
The Data Engineer will develop scalable ETL pipelines, manage data warehousing solutions, and ensure data integrity while collaborating with engineering and product teams. This role involves implementing data security practices and communicating complex projects to diverse stakeholders.
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As a Data Engineer at Atlassian, you will build and improve data models and pipelines, enabling data-driven decisions across various departments. You will own problems end-to-end, enhance current data sources, and produce metrics that support business objectives.
As a Senior Data Engineer at Atlassian, you will design and build data models, scalable data pipelines, and data quality enhancement tools. You'll collaborate with various teams to extract, clean, and analyze data, ensuring it meets product and business requirements while providing insights for decision-making.
As a Principal Data Engineer at Atlassian, you will develop backend systems and data models, manage data pipelines, and contribute to a data-driven culture. Your role involves building scalable datasets and ensuring reliable data engineering practices across the organization, supporting various analytical needs.
The role involves engaging with clients to understand and solve complex analytical problems, translating these into actionable solutions, developing and deploying software, and collaborating with cross-functional teams while ensuring exceptional communication with non-technical stakeholders.
The Data Engineer will collaborate with various stakeholders to create high-quality datasets, develop data pipelines, ensure data quality, and drive adoption of datasets. Responsibilities include supporting data pipelines, prioritizing requests, and maintaining effective communication with non-technical stakeholders.
As a Data Engineer at Headway, you will collaborate with teams to design and implement data pipelines, support infrastructure, and improve data processes to provide valuable business insights, enabling better mental healthcare access and affordability.
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As a Data Engineer at Snap Inc, you'll work on building scalable data ETL pipelines, manage data warehousing solutions, and implement data security practices, while collaborating with stakeholders across engineering, product, and data science teams.
As a Principal Data Engineer at Atlassian, you'll lead initiatives to build efficient data pipelines and contribute to a multi-petabyte data lake. The role requires collaboration with business stakeholders, architecting services, and driving large-scale projects in a fast-paced environment, all while ensuring data quality and usability.
As a Senior Data Engineer at 0x, you'll enhance data accessibility, develop scalable ETL pipelines, and maintain data APIs. You'll collaborate with product teams to translate business needs into data-driven strategies, contribute to the data community, and mentor team members while promoting innovative practices.
The Data Engineer at Lyft will develop and manage data pipelines, ensure data quality, and support analytical needs to drive business decisions. Responsibilities include evolving data models, improving data processing performance, and collaborating with cross-functional teams.
As a Senior Data Engineer on the Growth team at Lyft, you will manage data architecture and pipelines for growth campaigns, ensuring data consistency, implementing data management tools, and performing advanced performance tuning for data processing. You will collaborate with cross-functional teams to address business goals effectively.
As a Senior Data Engineer at Crunchyroll, you will design and optimize data services and pipelines, collaborating with teams to enhance data analysis and build robust architectures. You'll automate processes and establish best practices while mentoring junior engineers.
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As a Senior Data Engineer at Iterable, you will own and optimize data pipelines for their machine learning platform, ensure effective handling of unstructured data, design ML systems, and collaborate with engineering teams to enhance data quality and infrastructure.
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