Top Data Engineer Jobs in NYC, NY
As a Data Engineer Manager at PwC, you will lead the design and development of robust data solutions, transforming raw data into actionable insights. You'll be responsible for data pipeline implementation, integration, and transformation while mentoring team members and ensuring project success through effective ownership and planning.
As a Data Engineer at Hinge, you will develop and maintain essential data pipelines and processes that support the organization’s decision-making. Your role involves collaborating with data teams, improving the data engineering stack, and executing data modeling tasks, all while using modern technologies and delivering data-driven insights.
As a Data Engineer at Canoe Intelligence, you will design and develop scalable data systems, contribute to the growth of the Alts Data Platform, and work closely with AI/ML engineers. Responsibilities include implementing data models and pipelines, collaborating with cross-functional teams, and ensuring operational excellence.
As a Senior Data Engineer, you will design and improve data infrastructure, build data pipelines for various stakeholders, and collaborate closely with Data Science and Analytics teams to produce valuable business insights and support core products.
As a Data Engineer, you will own the architecture, management, and deployment of the Arlo underwriting API, collaborating closely with actuaries to refine models and ideate strategies. Your responsibilities include setting up data pipelines, implementing reporting tools, evaluating new data sources, and deploying models into production.
As a Data Engineer at Kustomer, you will enhance the data architecture and streamline data-ingestion processes, manage ETL processes, analyze data to extract insights, debug data issues, and provide production support for the data pipeline.
As a Senior Lead Data Engineer, you will collaborate with Agile teams to design and develop full-stack solutions, lead a team with expertise in machine learning and cloud-based services, and ensure code quality through testing and reviews. You'll work on integrating data technology solutions that empower customers financially.
As a Senior Data Engineer at Capital One, you will design and develop data pipelines and cloud-based solutions using Python and AWS technologies. Collaborating with agile teams, you will implement and support scalable applications while mentoring peers and staying updated with tech trends.
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As a Senior Lead Data Engineer at Capital One, you will lead a team to design and develop technical solutions, focusing on big data technologies and cloud computing. You will collaborate across Agile teams, build machine learning applications, and ensure robust cloud-based solutions that enhance customer experiences. You will also mentor junior team members and stay updated on tech trends.
As a Senior Data Engineer at Hinge, you will design, build, and optimize data pipelines, enhance data modeling techniques, and maintain analytics data warehouses. Your efforts will improve product services, ensuring data consistency and low latency while directly impacting user experience and product performance. You'll work cross-functionally to support data-driven decisions and participate in on-call rotations for system reliability.
The Senior Engineer will be responsible for architecting and building scalable data processing systems to handle large data volumes, collaborating with teams to optimize system performance and costs, and engaging in the full software development lifecycle, including production support.
As a Senior Data Engineer at Axio, you will collaborate with cross-functional teams to build data products, automate data processing through pipelines, lead the deployment of data science models, and architect data infrastructure to support evolving data products.
As a Lead Data Engineer at Capital One, you will design, develop, and support technical solutions in a full-stack environment. Responsibilities include collaborating with Agile teams, working on machine learning and microservices, leveraging data warehousing and cloud technologies, and mentoring team members while driving data-driven transformations.
As a Senior Data Engineer at Capital One, you will collaborate with Agile teams to develop and support technical solutions, employing full-stack development and big data technologies. You will write code using various programming languages, contribute to cloud-based data warehousing, implement real-time data applications, and mentor other engineers.
As a Senior Data Engineer at Capital One, you will collaborate with Agile teams to design and implement technical solutions, leveraging programming languages and cloud data warehousing services. You'll be involved in developing microservices, supporting big data technologies, and mentoring team members while ensuring code quality and performance.
As a Lead Data Engineer at Capital One, you'll collaborate with Agile teams to design and implement technical solutions, leveraging big data technologies and cloud services to solve complex problems and enhance customer experiences. Responsibilities include coding, testing, and mentoring while driving transformation in financial services.
As a Sr. Data Engineer at Capital One, you will collaborate within Agile teams to design, develop, and implement technical solutions. Your role focuses on marrying data with emerging technologies, utilizing programming languages and big data technologies, as well as supporting cloud-based data warehousing services. You'll be responsible for delivering robust solutions that enhance financial empowering experiences for customers.
As a Senior Data Engineer, you'll collaborate with Agile teams to design, develop, and implement robust technical solutions. You will work with machine learning, microservices, and cloud data warehousing, applying programming skills across various data technologies to enhance financial empowerment for customers.
The Senior Data Engineer will collaborate with Agile teams to design and develop technical solutions using various programming languages and cloud-based technologies. Responsibilities include utilizing big data technologies, conducting unit tests, mentoring team members, and delivering cloud-based solutions to enhance customer financial empowerment.
The Senior Data Engineer will build and optimize data integration pipelines for data lakes and warehouses. Responsibilities include collaborating with stakeholders, enhancing data transformations, ensuring data integrity, and championing coding standards. The role calls for coding and maintaining a multi-cloud infrastructure, as well as working closely with analytics engineers.
The Senior Data Engineer at adMarketplace will develop and maintain ad-tech data systems, focusing on data streaming, processing, and aggregation. Responsibilities include building scalable ETL pipelines, collaborating with QA and DevOps, and translating business requirements into technical solutions. The role involves working on cloud migration projects and requires strong experience with Python and big data technologies.
As a Senior Data Engineer, you will design and maintain data pipelines for tax data, ensuring accuracy and compliance. Your role involves collaborating with teams to understand data needs and developing solutions while building expertise in payroll taxation.
As a Sr. Data Engineer at NBCUniversal, you will design and construct scalable data pipelines and analytics applications. You'll collaborate with diverse teams to gather data requirements, employ data modeling techniques, and optimize data architecture. Your expertise in cloud-based technologies and machine learning will guide your contributions to generative AI initiatives and support strategic decisions across the company.
As a Senior Data Engineer, you will develop and maintain scalable data platforms, architect high-volume data pipelines, improve system performance, ensure data privacy compliance, and collaborate with teams for operational efficiencies. You are expected to debug complex issues and share knowledge through documentation and mentoring.
The Senior Data Engineer will work on the Targeting and Audiences team to evaluate and enhance audience matching methodologies, build scalable data processes, and collaborate with various teams for data management and analysis, focusing on improving targeting strategies and handling petabytes of data.
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