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The Senior Data Engineer at Capital One will design, develop, and support technical solutions in a collaborative Agile environment, utilizing various programming languages and cloud technologies to deliver powerful data-driven experiences.
Build robust data solutions and data pipelines for a real estate MLS workflow and data platform. Collaborate with cross-functional teams to enhance data infrastructure and quality. Shape data engineering team standards and culture. Work in New York City office.
As a Senior Data Engineer at Capital One, you'll collaborate with Agile teams to design and develop full-stack solutions, utilizing languages like Python and SQL, and cloud services such as AWS, to solve complex problems and drive data-driven empowerment for customers.
As a Principal Software Engineer, you will lead design and delivery of data architecture for a high-traffic multi-region SaaS solution. You'll ensure operational and application security, develop scalable solutions, and engage with various teams to understand market needs while fostering a culture of open communication and innovation.
As a Senior Data Engineer, you will enhance Core Data platforms, develop real-time and batch data pipelines, and ensure data accuracy and reliability. You'll work with internal and external APIs, implement monitoring practices, and establish CI/CD pipelines. The role involves mentoring junior engineers and leading data infrastructure projects.
As a Lead Data Engineer at Klaviyo, you will own the data automation framework, optimize infrastructure for analytics, coach engineers, and drive technical vision. You will address technical challenges and ensure the system supports business needs for over 50,000 customers.
As a Lead Database Engineer, you'll join the Data Stores team to build and maintain resilient relational database systems. Responsibilities include designing automation for database infrastructure, ensuring 24/7 availability, and enhancing performance while adhering to engineering standards.
As the Analytics Engineering Tech Lead, you will own the strategic vision for the data warehouse, overseeing projects to enhance performance and ensure alignment with business objectives. You'll collaborate with various stakeholders to manage data quality and create documentation for data sources while leveraging tools like Looker and dbt.
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The Data Analytics Engineer will design and implement data systems and services for the Electronic Trading businesses, build reliable data pipelines for analytics and regulatory reporting, and mentor team members while driving technical standards and best practices.
The Engineer II - Reporting and Insights will develop and maintain data pipelines, build applications for deep data insights, and optimize query performance. Responsibilities include processing billions of records, working on near real-time applications, and collaborating with teams on large query engine clusters.
As a Senior Data Engineer on the Data Warehousing Team, you will design, build, and maintain systems to support Klaviyo's core product areas. You will collaborate with cross-functional teams, write high-quality code, create infrastructure, and review engineering designs while tackling complex challenges in a fast-paced environment.
The Principal Data Engineer II will lead the design and implementation of data pipelines and infrastructure for hardware testing. Responsibilities include collaborating on data acquisition strategies, overseeing data quality, and mentoring team members. This role also involves using Python, Scala, and Spark for data processing and working with various database technologies.
The Software Engineer will develop scalable data management solutions and infrastructure, collaborate with teams to implement data solutions, optimize ETL pipelines, ensure data governance, and monitor database performance. They will stay updated on emerging technologies related to data management and cloud computing.
As a Senior Data Engineer at Axio, you will collaborate with teams to enhance data products, develop ETL pipelines, implement data models, and architect data infrastructure, ensuring data quality and facilitating advanced analytics.
As a Data Architect at PNC, responsibilities include defining, implementing, and supporting databases for the enterprise data warehouse, developing business definitions of entities and attributes, translating logical models into physical data models, and collaborating with data analysts and developers. Required skills include Azure AI, PySpark, .NET, AWS, and experience in data warehousing and data modeling tools. Visa sponsorship not provided.
As a Data/Software Engineer III at JPMorgan Chase, you will design and deliver technology products, execute software solutions, maintain algorithms, analyze data, and be a key part of an agile team focused on continuous improvement in a secure and stable manner.
Looking for a Data Engineer to create solutions for Apex Compliance and Regulatory team using next generation cloud-based data platform. Responsibilities include designing, developing, and deploying solutions on large scale trading data, building reporting infrastructure, and delivering data sets to regulatory entities and vendors.
The Senior Data Engineer is responsible for developing and supporting frameworks and analytics applications enablement capabilities. They play a role in Agile planning, providing advice and guidance, and monitoring emerging technologies. Responsibilities include enabling reliability operations, implementing cloud capabilities, and building frameworks in AWS for transitioning analytics solutions.
As a Senior Lead Data Engineer at Capital One, you'll lead a team of developers, collaborate within Agile teams to deliver cloud-based data solutions, and manage complex technical projects. You will leverage your expertise in machine learning, distributed microservices, and big data to enhance financial services offerings.
As an Analytics Engineer, you will create and manage reliable datasets, establish new data sources, improve the data platform's performance, and collaborate with team members to support inclusive engineering practices. You'll also contribute to technical discussions and promote a positive team culture.
As a Senior Data Engineer at Capital One, you will collaborate with Agile teams to develop technical solutions, work on machine learning and microservices, and deliver cloud-based solutions. You’ll need 3+ years of application development experience and a background in big data technologies.
The Sr. Data Engineer is responsible for designing and maintaining data architecture and pipelines, solving complex data problems to deliver insights, and creating data products for various teams. The role involves mentoring other professionals, evaluating emerging tools, and ensuring operational efficiency within data solutions while collaborating with multiple engineering teams.
Kargo is seeking a Senior Analytics Engineer to build data pipelines, optimize data architecture, and lead the implementation of dbt for data transformation. Responsibilities include collaborating with analysts, ensuring data quality, and mentoring junior engineers, all while supporting business needs with insights across teams.
Apex Fintech Solutions is looking for a Data Engineer to develop solutions for its Compliance and Regulatory team on a cloud-based data platform. Responsibilities include designing and deploying solutions, building reporting infrastructure, and ensuring data quality for regulatory entities, leveraging tools like Big Query and Looker.
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
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