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Top Data Engineer Jobs in Los Angeles, CA
The Principal Data Engineer will develop and maintain high performance data platforms, lead architecture discussions, collaborate with teams to deliver scalable solutions, and mentor other engineers. Responsibilities include building large data pipelines, ensuring system stability, and enhancing engineering practices.
As a Senior Manager, Google Cloud Data Engineer at PwC, you will build and implement data infrastructure, develop data pipelines, and transform data into actionable insights. You are responsible for enhancing data architecture, collaborating with stakeholders, and managing a high-performing team to solve complex data-related challenges.
As a Google Cloud Data Engineer Manager at PwC, you will lead the design and implementation of data infrastructure and systems while mentoring team members. You will oversee the development of data pipelines and integration solutions, ensuring compliance with data governance. Your role involves collaborating with stakeholders to translate business needs into technical solutions, enhancing team performance, and driving innovation in cloud-based technologies.
As a Google Cloud Data Engineer at PwC, you will design and implement data architecture strategies, develop data pipelines, and lead teams to drive quality and client satisfaction. You will mentor team members, manage projects, and ensure compliance with data governance and security policies. Your role also involves enhancing operational efficiencies through leveraging technology.
The Google Cloud Data Engineer Senior Manager at PwC is responsible for designing and building data infrastructure and systems, developing data pipelines, and ensuring data integration and transformation. The role requires strategic advice, client engagement, team leadership, and compliance with data governance policies, leveraging Google services and maintaining high professional standards.
As a Data Engineer Manager at PwC, you will lead the design and development of data solutions, focusing on infrastructure and effective data processing. You'll mentor your team, oversee project execution, and ensure quality in deliverables while fostering a culture of performance and innovation.
As a Data Engineer Manager at PwC, you will design and build data solutions, oversee the development of data pipelines, and lead a team to deliver high-quality data infrastructures. You will also coach team members, manage project timelines, and ensure compliance with data governance standards while collaborating with business stakeholders.
As a Lead Data Engineer at Disney, you will develop and enhance feature store tooling and services, collaborate on streaming data ecosystems, and create low-latency services for event-driven pipelines. You will work with diverse teams to drive innovation within Disney's ML infrastructure and ensure a culture of quality in an Agile environment.
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The Senior Data Engineer will implement data infrastructure and solutions, collaborate with the data team to improve workflows, maintain high data quality standards, and enhance the performance and reliability of data systems within AWS and GCP ecosystems.
As a Data Engineer II, you will design scalable data systems, ensure data quality, and deliver insights to improve player experiences. Collaborating with various teams, you'll mentor others and optimize data platforms for multiple game titles. You'll focus on data architecture, security, and building efficient systems to support the game development lifecycle.
The Senior Data Engineer will be responsible for building and maintaining Disney's Audience Manager Platform, designing scalable data processing pipelines, and collaborating with cross-functional teams to improve product-driven initiatives. The role requires extensive experience in big data engineering and expertise in technologies like Spark and Hadoop.
The Staff Data Engineer at Crunchyroll will be responsible for enhancing and safeguarding data infrastructure, implementing data solutions and platforms, mentoring a team of data engineers, and innovating reporting platforms. This role involves migrating from AWS to GCP, managing data sets at a global level, and ensuring reliable data insights for decision-making.
The Senior Data Engineer at Disney Entertainment & ESPN Technology will design and build scalable data pipelines and contribute to the development of data warehousing solutions. Collaborating with cross-functional teams, the engineer will create infrastructure for data products, ensuring data quality and governance, while maintaining documentation and supporting analytics initiatives.
The Lead Data Engineer will enhance the reliability of Disney's big data platform, collaborate on data pipelines, lead project efforts, develop solutions for observability, and present insights for data-driven decision-making.
In this role, you will design and maintain data pipelines, implement data orchestration tools, collaborate on AI solutions, and support analysts in creating data products and dashboards. You will also focus on data governance, develop predictive models, and manage the analytics tech stack.
As a Data Engineer on the Marketing Data Engineering team, you will build and maintain data infrastructure, create and optimize data pipelines, and collaborate with analytics teams to support decision-making for revenue growth and seller acquisition.
The Senior Data Engineer will lead efforts to enhance a modern data lakehouse, translate requirements into data models, and develop using technologies such as Databricks and Python. Responsibilities include mentoring, project management, and maintaining proficiency in defined skills.
As a Staff Data Engineer, you will build and maintain data infrastructure pivotal for driving revenue growth at Square. Responsibilities include developing data pipelines for web analytics, collaborating with engineering teams, and ensuring reliable data flow while resolving discrepancies and enhancing data quality.
As a Principal Analytics Engineer, you will create and maintain data models, build ETL pipelines, and develop dashboards to empower teams with data insights. This role requires collaboration across product teams to align data initiatives with strategic goals and help drive business decisions through comprehensive data analysis.
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