Top Senior Level Data Engineer Jobs in NYC, NY

The Senior Machine Learning Engineer will build scalable machine learning systems, enhance entity resolution algorithms, and develop ML infrastructure. Responsibilities include designing reliable ML solutions and collaborating with cross-functional teams to optimize performance and testability.

As a Staff Machine Learning Ops Engineer at Grubhub, you will architect and implement scalable MLOps pipelines, manage monorepos, enhance system observability, and collaborate with data scientists to improve engineering standards. Your role will involve overseeing platforms, ensuring data lineage, and refining deployment strategies for machine learning models.

As a Data Analytics Engineer, you will design and implement features and services for Electronic Trading. Your responsibilities include building data pipelines to manage large datasets for client analytics and regulatory reporting, mentoring teammates, and evolving technical standards within a collaborative team.

As a Data Engineering and Analytics Manager at Spark Advisors, you will lead the data function, overseeing the development of a data warehouse, implementing data products, and mentoring your team. You'll work closely with various teams to ensure efficient data processing and provide insights through analytics infrastructures and dashboards.

As the FBOS Data Partner, you will enhance financial processes, ensuring accurate data management and revenue reconciliation, especially in a SaaS environment. You'll lead strategic initiatives, establish guidelines for new product introductions, and prepare for an IPO by refining necessary processes. You will also partner with data teams to improve business insights and oversee financial operations for partnerships.

Develop and maintain core data models in dbt, ensuring consistency across business metrics. Collaborate with finance and data analysts, provide documentation for data access, drive data quality initiatives, and regularly audit data models for integrity.

The role involves building computer vision models for 3D scans, researching state-of-the-art machine learning methods, working with product and research teams to improve product lines, and implementing best practices for MLOps pipelines, all while working with large datasets.