Top Data Engineer Jobs in New York City, NY

Looking for a Data Engineer to lead the integration of product, financial, and business systems using SQL, dbt, and Python. Responsibilities include data workflows, data quality, modeling, documentation, collaboration, and data leadership. Requires 5+ years of experience in a SaaS environment and expertise in data engineering tools and cloud services.

As a Data Engineer on the Proprietary Research team, you will design and build solutions for extracting insights from complex data sets, develop big data processing pipelines, and support visualization capabilities. Collaborating with investment professionals and data scientists, you'll leverage cloud technologies and handle both structured and unstructured data to create valuable research tools.

The candidate will develop and maintain a production trading system, work on enhancing monetization through research, and create technologies to improve research and trading productivity. The role requires collaborating with researchers to innovate tools for trading success.

The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.

As a Senior Data Engineer at Publicis Sapient, you will lead the development of large-scale data systems and data transformation projects. You will collaborate closely with clients to design and implement technical solutions, automate data platform operations, and mentor junior team members, leveraging a wide range of data technologies.

As a Senior Associate Data Engineer at Publicis Sapient, you will lead data migration projects to AWS, build complex data pipelines, and act as a trusted AWS expert for clients. You'll work closely with clients to translate their needs into technical solutions while ensuring high-quality deliverables and mentoring team members.

The Principal, Data Strategy - Web Analytics will lead the web analytics strategy for clients, focusing on data-driven marketing solutions and ensuring technology integration. Responsibilities include defining data strategies, working with internal teams for client value, and providing education on data's impact.

The Senior Analytics Engineer will design and implement MarTech products, develop data pipelines, perform data transformations, and collaborate with stakeholders to drive data analytics innovation. Responsibilities include ensuring the quality and automation of data processes and mentoring junior team members.

As a Data Engineering Manager, you will lead a team of data engineers to build and optimize the Ad EnGage data pipeline. This involves managing project workflows, addressing data engineering challenges, and collaborating across teams to define requirements and execute data-driven solutions.

As a Senior Data Science Consultant, you will collaborate with clients to understand their data needs, analyze large datasets, build predictive models, and create data visualizations to derive insights. You will also contribute to internal projects and work closely with engineering teams to address business challenges through data-driven solutions.