Top Data Engineer Jobs in New York City, NY
The Machine Learning Engineer will lead the development and deployment of machine learning models to assess risks for various businesses. The role involves transforming structured and unstructured data into actionable insights and collaborating closely with product management and software engineers.
As a Senior Data Engineer at Hinge, you'll design and optimize data pipelines, support foundational product services, and collaborate with teams to drive data-driven decisions. You'll enhance the Data Engineering stack, advocate best practices, and maintain analytics data for insights and strategies while ensuring smooth operations through on-call participation.
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The Privacy Analyst role at Grammarly involves managing vendor privacy reviews, conducting data protection impact assessments, drafting educational resources, and training teams on privacy practices. The analyst collaborates with cross-functional teams to ensure compliance with privacy regulations and contributes to privacy audits and controls management.
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The Machine Learning Infrastructure Engineer will drive ML infrastructure and operations, collaborating with ML Engineers and Data Scientists to support model development and deployment. Key responsibilities include building scalable infrastructure for model lifecycle management, creating an internal training platform, and deploying data stores for batch pipelines and real-time recommendations.
The Senior Data Engineer will design and develop robust data pipelines for data ingestion, processing, storage, and retrieval while optimizing data systems for efficiency. They will collaborate with cross-functional teams, enforce data governance policies, and ensure data integrity and compliance with regulations.
As a Senior Data Engineer at Grubhub, you will design and maintain data pipelines, collaborate with Ads teams, optimize data storage using columnar formats, leverage technologies like Scala and Spark, and work with AWS services to ensure data integrity and efficiency while mentoring junior engineers.
Lead a team of Data Integration Engineers, providing technical guidance on data integration practices and ensuring smooth integration with Riskified's platform. Oversee data flow validation and build tools to automate data validation, while aligning team activities with business goals. Act as a key advisor for strategic clients and manage multiple projects.
As a Data Engineer at Kustomer, you'll enhance data architecture and streamline ingestion processes to improve data-driven products. You'll analyze datasets, partner with stakeholders for insights, debug data issues, and oversee data pipelines, ensuring data integrity and privacy.
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The Data Engineer will design and build scalable data systems and contribute to the architecture of Canoe's Alts Data Platform. Responsibilities include developing data models and pipelines, collaborating with AI/ML engineers, and ensuring operational excellence.
The AI Operations Specialist will evaluate AI-generated text for accuracy and relevance, conduct testing calls, document bugs, collaborate with teams to improve functionalities, and attract top talent. This role focuses on ensuring the quality of AI-driven products in housing and healthcare.
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