Top Hybrid Data Engineer Jobs in New York City, NY
Collaborate with Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. Utilize programming languages like Java, Scala, Python, and various data technologies to deliver cloud-based solutions for financial empowerment. Must have 3 years of application development experience and 1 year of big data technologies experience.
Lead Data Engineer at Capital One responsible for collaborating with Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. Required skills include Java, Scala, Python, cloud computing, big data technologies, and distributed data/computing tools.
Capital One is seeking a Senior Data Engineer to collaborate with Agile teams in designing, developing, testing, and implementing technical solutions using full-stack development tools and technologies. Responsibilities include working on machine learning, microservices, and cloud-based data warehousing services to drive transformation within the company. Basic qualifications include a Bachelor's degree, 3 years of application development experience, and 1 year of big data technologies experience. Preferred qualifications include expertise in Python, SQL, Scala, Java, public cloud services, distributed data tools, real-time data applications, NoSQL, data warehousing, UNIX/Linux, and Agile engineering practices.
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As a Solutions Strategist - Asset Data at Canoe Intelligence, you will be the subject matter expert for Asset Data within the Commercial team. Your responsibilities include providing insights to Sales, Relationship Management, and Marketing teams, conducting market research, supporting sales demonstrations, optimizing sales processes, and collaborating with Product Management.
Machine Learning Engineer responsible for leveraging large-scale computation and machine learning to enhance customer products. Overseeing data analysis, developing and implementing models, ensuring efficient software deployment, and strategizing risk mitigation. Communicating complex issues to stakeholders and fostering a cross-functional work environment.
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As a Director in Oracle consulting, you will lead the team in implementing Oracle MDM solutions across various sectors, drive data quality initiatives, and oversee the transformation of organizations through effective data and analytics strategies. Responsibilities include disrupting ways of working, identifying market gaps, and fostering a culture of innovation and collaboration.
As a SAP Data Migration Consultant Manager at PwC, you will work on Full Life Cycle Implementations in SAP, conduct Blueprint/Design workshops, data mapping, and support clients in leveraging SAP applications to transform their data management processes.
Join PwC's SAP Data and Analytics practice to help clients maximize the value of their SAP investment. Work on transforming data management, governance, and analytics processes to strengthen decision-making abilities. As a Manager, you'll be part of a team solving complex business issues with a focus on technology-enabled change and leadership development.
Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives. Develop an AutoML platform to accelerate model generation and automate the machine learning model lifecycle. Provide technical direction that influences the entire company.
Snap Inc. is looking for a Machine Learning Engineer with 5+ years of experience to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building robust products. Strong understanding of machine learning approaches and algorithms is required.
Create models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, and build scalable products. Strong understanding of machine learning approaches and algorithms required.
As a Data Engineer at Hinge, you will create essential data processes and contribute to a modern data pipeline. Your work will enable the organization to make data-driven decisions and drive improvements. Responsibilities include working with data teams, improving data engineering stack, designing and maintaining analytics data warehouse, and contributing to team processes.
Seeking talented data engineers to build foundational datasets and pipelines for robust financial reporting. Partner with Finance, Monetization Engineering, Business Intelligence, and Data Science teams to support critical financial reporting and analysis needs. Design, build, and monitor scalable pipelines.
Lead Data Engineer at Disney Entertainment & ESPN Technology responsible for designing, developing, and maintaining ETL processes and data pipelines for fraud detection systems. Collaborate with data scientists and analysts to meet data requirements and work on scalable data pipelines. Partner with Applied Machine Learning Engineers to manage and scale processes for algorithm input features and datasets.
As a Salesforce Data Engineer at FreeWheel, you will be responsible for leveraging your Salesforce skills to build applications and solve complex business problems on a highly customized Sales Cloud instance. You will provide administration, data, and application support to ensure smooth functioning of Salesforce tools. The role requires coding, testing, debugging, and collaborating with stakeholders to deliver high-quality solutions.
Join Realtor.com® as a Data Journalist to analyze housing data, write engaging articles and visualizations, collaborate with teams, and stay updated on housing market dynamics. Requires 5+ years of experience, Python coding skills, and a Bachelor's degree.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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