Top Hybrid Data Engineering Jobs in New York City, NY

Design and build data pipelines using AWS services and Python. Collaborate with data teams to ensure data quality and optimize performance.

The Analytics Engineer Manager will lead the analytics engineering foundation, drive financial data solutions, enhance reporting accuracy, and cultivate talent while collaborating with cross-functional teams.

The Data Engineer will build and optimize data pipelines and infrastructure, ensuring data quality for analytics and machine learning initiatives while collaborating with teams to develop data solutions.

Responsible for managing data and analytics for clients, including building and migrating reporting infrastructure, creating data pipelines, analyzing data, and ensuring client needs are met under tight deadlines.

The Manager of Data Engineering & Analytics Consulting leads project delivery, client relationships, and team development while ensuring quality data solutions in cloud environments.

As a Senior Data Engineer, you will build data pipelines, improve the data engineering stack, and maintain a data warehouse for analytics. You'll collaborate with teams to ensure data accuracy and contribute to system reliability.

The Data Engineer will manage data pipelines for financial institutions, translating raw transactions into insights while collaborating with various teams to enhance data models and tools.

Lead feature engineering team in developing predictive models using financial insights and machine learning techniques. Collaborate with data engineering teams to ensure robust feature generation and improve model performance.

As a Senior Data Engineer, you will design robust ETL processes, maintain data infrastructure, and collaborate to optimize data access and analytics.

The Senior Analytics Engineer will build data models, collaborate with analysts, and optimize data transformations for analytics within FanDuel's products.