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As a Senior Data Engineer at Capital One, you will design and implement technical solutions using full-stack development tools and technologies. You'll work with Agile teams to develop software, utilize big data technologies, and mentor other engineers. Collaborating with product managers, you'll create cloud-based solutions to enhance customer experiences, perform unit tests, and ensure code quality and performance optimization.
The Senior Data Engineer at Capital One will collaborate with Agile teams to design and implement technical solutions using full-stack development technologies. The role involves utilizing programming languages like Java, Scala, and Python, and working with cloud data warehousing services like Redshift and Snowflake. The engineer will also mentor others, perform code reviews, and engage in continuous learning of new technologies.
As a Senior Data Engineer at Capital One, you'll work collaboratively within Agile teams to develop and support technical solutions. You will utilize programming languages and cloud-based services to solve complex problems, drive transformation, and mentor peers while maintaining high coding standards and performance.
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The Director of Data Engineering will lead multiple teams to manage data and data products, implement a cohesive data strategy, and drive automation and machine learning initiatives. This role involves collaboration with various stakeholders to modernize tech stacks, deploy applications in AWS, and conduct design reviews to adhere to standards.
The Director of Data Engineering will lead and grow teams focused on data and software engineering, implement data strategies for the Enterprise Identity Platform, and modernize technology stacks while promoting collaboration across Agile teams. Responsibilities include overseeing AWS deployments, code reviews, and fostering innovation through best practices in data engineering and machine learning.
The Director of Data Engineering will oversee the management and development of data products, drive cohesive data strategies, and build teams delivering scalable data and fraud products. This role requires collaboration with various stakeholders, embracing new technologies and platforms, while ensuring adherence to engineering best practices.
As a Data Scientist at Capital One, you will lead the development of next-generation Card risk models and collaborate with a cross-functional team to deliver customer-centric products using machine learning and big data technologies.
As a Principal Associate, Data Scientist at Capital One, you will develop next-generation Card risk models and related infrastructures, working with data scientists and engineers to enhance business performance through machine learning techniques. You will analyze large datasets to derive insights, build models, and communicate findings to stakeholders.
As a Lead Machine Learning Engineer at Capital One, you will design and implement machine learning applications, focusing on high availability and performance. You will collaborate with various teams, develop optimized ML models, automate tests, and ensure responsible AI practices. This includes maintaining and monitoring deployed models and utilizing cloud technologies for scalability.
As a Senior Data Analyst at Capital One, you will innovate, build, and maintain data solutions, leveraging analytic skills to drive business intelligence, manage data quality, and partner with business teams to provide insights and develop tools for data visualization.
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