Top Data Engineer Jobs in New York City, NY

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.

The Counsel will provide legal support on data privacy and protection, negotiate technology and marketing agreements, draft contracts, and implement compliance policies. They will also collaborate with various teams to support digital strategies and conduct legal reviews.

As a Data Engineer at Brex, you will design, build, and maintain scalable data models and pipelines, collaborate with Data Scientists and BI Analysts to understand data needs, and ensure high-quality data documentation. You will play a key role in enabling data-driven initiatives and maintaining robust data workflows across the organization.

The Director of Data Operations at FanDuel will lead Data Engineering operations, ensuring the delivery of high-quality data platforms and products. This strategic role involves overseeing data operations, managing cross-functional initiatives, and developing processes for program management and operational excellence to enhance the smooth functioning of the Data Engineering organization.

As a Sales Representative, you will be responsible for prospecting potential clients, managing and nurturing the existing client base, and promoting CoStar and LoopNet products. You will handle the full sales cycle, conduct client demonstrations, and represent CoStar at industry events.

The Data (ETL) Architect will lead data management and migration projects focused on Salesforce.com and other cloud tools, develop and maintain data processes, assess risks, and convert client needs into data requirements with deep ETL expertise and strong communication skills.

The Data Science Manager will lead a team of Data Analysts within the P&L management team at Lyft, focusing on managing the profit and loss for the Rideshare business. Responsibilities include mentoring the team, analyzing business problems using data analytics, collaborating with Data Scientists and Engineers, and presenting insights to senior leadership to influence investment strategies.