Top Senior Level Data Engineer Jobs in NYC, NY

The Senior Analytics Engineer will build data marts, maintain data integrity, and create insightful reports for stakeholders. This role requires collaboration with various teams and effective communication to ensure data insights support decision-making across the organization.

The Senior Data Engineer will help Kargo adapt to new audience targeting methodologies by evaluating existing processes, building scalable data handling pipelines, and collaborating with engineering, data, product, and client-facing teams. Responsibilities include analyzing data trends, improving data pipelines, and enhancing targeting capabilities.

The Data Integration Team Lead is responsible for leading a team of Data Integration Engineers, managing data integration projects, providing technical guidance to clients, and ensuring high-quality data flow and compliance with SLAs. The role involves designing integration solutions, using a hands-on approach, and collaborating with various teams to enhance the company's offerings.

As a Senior Data Engineer, you'll enhance data architecture and streamline ingestion processes. Responsibilities include writing tools for data classification and ingestion, analyzing data sets, debugging data issues, and ensuring best practices in data management. The role demands a blend of technical and strategic insight into big data solutions.

As a Senior ML Ops Engineer, you will deploy and manage machine learning models, implement CI/CD pipelines for ML workflows, monitor model performance, optimize workflows for larger datasets, manage model versioning, and ensure troubleshooting in production environments.

As a Senior Data Architect at Particle Health, you'll be responsible for organizing and optimizing data assets, designing robust data architectures, and building scalable data pipelines. You'll collaborate across teams to address healthcare challenges, improve patient outcomes, and ensure data quality while leveraging diverse datasets like EHR and claims data.

The Senior Data Analytics Engineer will build, optimize, and maintain data pipelines, design reusable datasets, and implement a data validation framework. They will protect user privacy and security while collaborating with a fast-paced team to enhance healthcare outcomes using data.