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Top Staff Data Engineer Jobs in San Francisco, CA
As a Staff Data Engineer, you will build and maintain data infrastructure for marketing, design data pipelines, ensure accurate reporting, and collaborate with analytics and SEO teams. You will analyze data sources and manage data flows, participating in on-call duties to ensure pipeline efficiency and reliability.
As a Staff Data Engineer, you'll build and maintain essential data infrastructure, focusing on data pipelines for Marketing events. Your responsibilities will include collaborating with various teams, ensuring accurate data flow, designing ETL processes, and improving data quality, all while impacting business decisions at Square.
The Staff Data Science Engineer at Instacart will engage in strategic development of data-driven solutions, focusing on intelligent systems, data collection, and distribution. The role involves building interfaces for data scientists and impacting multiple teams, while leading critical efforts with minimal oversight and collaborating across functions to innovate and grow the product.
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.
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.
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 Staff Data Engineer in Ads at Reddit, you will lead efforts in data engineering within the Ads Data Science team, developing infrastructure for data ingestion and transformation, and enabling data-driven decision-making across the organization. You will build data pipelines, mentor analysts, and drive the adoption of data tools to create a self-service data culture.
As a Staff Data Engineer on the Ads Data Science team, you will lead analytics engineering initiatives, develop data pipelines, and create tools that enable data-driven decisions across Reddit. You'll ensure the quality of data and promote self-service capabilities while mentoring junior team members and collaborating with cross-functional teams.
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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.
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.
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'll create data solutions, design data models, build scalable pipelines, and improve data quality. You'll collaborate with various teams to lead business growth and enhance product experiences while managing data extraction and processing tasks.
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 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.
As a Data Engineer at Snap Inc, you will develop data pipelines, ensure data quality, and support reporting needs by working closely with various stakeholders. You will also maintain and enhance data consumption portals, communicate effectively with non-technical teams, and drive the adoption of the datasets you create.
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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.
As a Senior Data Engineer at Cruise, you will design and automate data processing workflows on GCP, collaborate with cross-functional teams to gather requirements, build data pipelines, create canonical datasets, and mentor junior engineers.
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.
As a Data Engineer at Lyft, you will develop and manage core data pipelines, evolve data models, ensure data quality, and improve processing performance through SQL and Spark/Trino job tuning. You'll collaborate with cross-functional teams and take ownership of projects from design to implementation.
As a Senior Data Engineer on the Growth Team at Lyft, you will own the data architecture and pipelines for growth campaigns, improve data models and schemas, and ensure data quality. You will collaborate with cross-functional teams to align on project priorities, conduct performance tuning for SQL and MapReduce jobs, and implement tools for data pipeline management.
As a Senior Data Engineer at Crunchyroll, you will design, implement, and optimize data services and pipelines while collaborating with teams to enhance operational analysis and event systems. Your role focuses on driving automation, best practices, and scalable architectures to support Crunchyroll's data needs.
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