Top Artificial Intelligence Data Engineering Jobs in New York City, NY

The Senior Data Engineer will design and manage data pipelines for massive datasets, ensuring quality, cost management, and effective data operations. Responsibilities include overseeing data flows, monitoring data quality, and managing vendor partnerships.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.

Partner with GTM to translate business goals into technical requirements, design end-to-end automations and AI-agent workflows, prioritize accounts, maintain data integrity and governance, document data models and processes, and liaise across Marketing, Sales, Success, and RevOps to deliver scalable GTM systems and measure tool ROI.

The Analytics Engineer will build data models and pipelines for reporting and analytics, improving data infrastructure for ML and AI products, and setting processes for data collection and analysis.

Build and operate data pipelines for research training data, collaborate with researchers to develop APIs and tooling for data management and analysis, and embed with teams to enhance workflows and solutions.

The Data Engineer will design, build, and deploy scalable data solutions, optimize data flows, and implement ETL processes, leveraging various cloud platforms and technologies.

As a Data Engineer, you will build and own the data infrastructure, design pipelines, ensure data quality, and implement DataOps practices while collaborating closely with product and engineering teams.

The Data Engineer will manage and develop data warehousing solutions, implement ETL processes, and utilize SQL for data analysis and reporting. Experience in analytics tools and communication is essential.

As a Senior Analyst in Analytics Engineering, you'll develop data models, build testing frameworks for data quality, create governance policies, and collaborate on AI-driven analytics.

As a Senior Data Engineer, you'll build and maintain reliable data ingestion pipelines, ensure data quality and performance, and oversee data readiness for features, using technologies like ClickHouse and Rails.