Top Big Data Data Engineering Jobs in New York City, NY

As an Analytics Engineer, you'll support internal teams by developing reliable data models, ensuring data quality, and creating intuitive reporting structures to facilitate decision-making across the business.

Lead a global data modeling team to create optimized physical data models for healthcare data. Collaborate with engineering and client teams to ensure data integrity and support operational and analytical needs.

Design, implement, and optimize data systems for analytics and care coordination, collaborate with teams, and automate reporting processes.

Lead architecture and design of scalable Data Lakehouse solutions on GCP, collaborating with clients on data challenges and technical requirements, while ensuring data governance and quality.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Data Operations Lead will drive data analytics, build reporting pipelines, unify metrics across teams, and foster data-driven decision-making using AI and analytics.

Lead the architecture and development of scalable data pipelines, mentor team members, and align data engineering practices with business objectives in a complex technical environment.

The Solutions Architect engages with customers, overseeing Snowflake implementation, demonstrating technical leadership, translating business requirements, and providing strategic guidance on data analytics solutions.

Lead the evaluation and optimization of large-scale datasets for AI training, ensuring data quality and collaborating with research teams.