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Top Data Engineer Jobs in NYC, NY
As a Principal Data Engineer, you will lead the architecture and development of scalable data pipelines, collaborate with cross-functional teams to integrate data into business strategies, mentor junior engineers, and ensure compliance with data governance and quality standards.
The Data Engineer will build data pipelines and applications, support data and analytics strategies, and automate workflows to enhance data delivery. This role involves engaging with business leaders, utilizing ETL/ELT processes, and collaborating across technology teams to manage data efficiently.
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.
The Senior AI Data Engineer will lead the development and maintenance of AI products at Fora. This role involves building a robust data infrastructure, collaborating with cross-functional teams, and driving the creation of innovative AI solutions to enhance user productivity.
The role involves leading data engineering initiatives, designing robust data infrastructure, developing data pipelines, and mentoring team members. It requires collaboration with stakeholders to create effective data solutions and ensuring compliance with data governance policies.
As a Senior Manager at PwC, you'll design and develop robust data solutions, focusing on data architecture and systems for efficient processing. You'll lead a team, communicate effectively with clients, and drive decision-making through actionable insights, while maintaining high professional standards.
As a Data Engineer at Vetcove, you will design and maintain scalable data pipelines, manage data workflows, integrate external data sources into the analytics team's warehouse, and utilize AI techniques to enhance data management.
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.
Featured Jobs
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 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 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 Senior Data Engineer, you will design and build data pipelines related to Identity, Account, Profile, and Device data, working across teams to define technical requirements, implement ETL strategies, and enhance data solutions for streaming platforms like Disney+.
The Data Engineer II will develop and maintain ad-tech data systems, focusing on data streaming, processing, and ETL/ELT pipelines. Involved in all software development lifecycle stages, they will build cloud-based data pipelines, collaborate with engineering and business teams, and ensure the integration and delivery of system components.
The Data Engineer will build and maintain data pipelines for analytics across various business functions. Responsibilities include understanding data interactions, collaborating on best practices, and implementing ingestion pipelines using tools like Apache Spark and Hudi.
As a Senior Data Engineer at Capital One, you will design, develop, and support technical solutions using full-stack development tools. You will collaborate with Agile teams, work on machine learning and distributed microservices, and refine cloud-based solutions to enhance customer experiences. This role involves coding, testing, and mentoring within the engineering community.
The Sr. Data Engineer will design, build, and scale data pipelines from various sources, implement best practices in machine learning, and collaborate with cross-functional teams to optimize data acquisition. Responsibilities include becoming a subject matter expert in data engineering and coaching other team members.
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.
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 Senior Data Engineer at Grubhub, you will design and maintain data pipelines, collaborate with teams to develop data solutions, optimize data storage, and ensure data integrity and availability. You will leverage technologies like Scala Spark and AWS, mentor junior engineers, and drive best practices for scalable data systems.
The Lead Azure Data Engineer will oversee the lifecycle of modern data solutions on Azure, manage a team of data engineers, and act as a technical liaison between clients and offshore teams. Responsibilities include designing data pipelines, conducting database migrations, and ensuring project deliverables are met with high-quality standards.
The Intermediate Data Engineer at VideoAmp will develop new product features and enhance existing products using ETL processes with Python and SQL, as well as handling API development in Go. The role includes collaboration in the entire product lifecycle and requires a focus on quality and efficiency.
As a Data Engineer, you will analyze, clean, and manage trading data, automating ETL processes and collaborating with traders and software engineers to provide valuable insights. You will check for anomalies and help develop clear visualizations of data.
As a Senior Data Engineer at Bombora, you will develop and optimize systems to process billions of interactions daily, identify intent signals, and lead engineering initiatives. Responsibilities include architecting ETL pipelines in Google Cloud Platform, developing microservices, and mentoring junior engineers while working within an Agile environment.
As a Senior Data Engineer, you will enhance Grubhub's data and machine learning pipelines, collaborating with data scientists to productionize data solutions and managing high volumes of data using advanced technologies.
The Sr. Data Engineer will be responsible for designing, developing, and maintaining data pipelines and data warehousing solutions. This role includes managing analytical data streams, defining user requirements, coordinating testing and training, and leading the data engineering team. The engineer will work to ensure the integrity of applications while enhancing existing solutions.
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