Top Data Engineer Jobs in NYC, NY

The Data Engineer will build analytical data models, manage data pipelines, and improve data quality to support business needs at Atlassian.

The Senior Data Engineer will manage data flow and ensure accuracy, improve data engineering stacks, build and maintain analytics warehouses, and support stakeholders with data solutions while participating in system reliability on-call rotations.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

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.

The Data Engineer will design data pipelines, optimize data warehouses, ensure data quality, and apply ITIL best practices for operational efficiency.

As a Data Engineer Apprentice, you will maintain data pipelines, automate workflows, and collaborate on projects while completing the AI and Machine Learning bootcamp.

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

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.

As the first Data Engineer, design and implement a scalable data platform, build data pipelines, and establish data modeling standards. Enable BI accessibility and document core metrics.

As a Data Engineer, design and maintain data pipelines, ensure data quality, and support AI workflows using modern tools and cloud environments.

The Staff Data Engineer will design and optimize data pipelines, collaborate with stakeholders, mentor team members, and lead architectural decisions in data infrastructure.

The Senior Data Engineer at Unchained will design and implement data pipelines, integrate APIs, ensure data governance, and mentor team members while focusing on accuracy and security.

Data Engineers at Endex design and maintain data pipelines for transforming financial data into insights, focusing on data quality and analytics.

Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.

The Data Engineer will design, build, and support data infrastructure. Responsibilities include developing data products and collaborating with stakeholders to meet data needs, ensuring scalable solutions and contributing to a robust data culture.

Design, develop, and maintain data pipelines and ETL workflows in Databricks, collaborating with teams to support large data needs in financial services.

The Data Engineer will design and build solutions for investment insights using big data technologies, developing data pipelines, and collaborating with cross-functional teams.

The Associate Data Engineer will modernize data architectures, optimize ETL pipelines, enforce data governance, and ensure data quality to support analytics across the organization.

The Senior Data Engineer will build and optimize data pipelines, ensure data integrity, and collaborate with stakeholders to meet business requirements while implementing best coding practices.

As a Quantitative Developer, you'll innovate and enhance quantitative methods, develop custom tools, maintain data pipelines, and collaborate with researchers for advancing investment strategies.

As a Data Engineer II, you'll build scalable data pipelines, data models, and cross-functional initiatives while collaborating with technical and non-technical stakeholders.

The Principal Software Engineer oversees the architecture and deployment of data solutions, ensuring quality, efficiency, and compliance. They manage data integrity, guide technology collaboration, and lead the design and implementation of data systems and standards.

The Data Engineer will design, implement, and maintain a scalable data architecture and infrastructure, focusing on data transformation, integration, and storage. They will collaborate with teams to optimize data processes and troubleshoot issues, utilizing technologies like Snowflake and SQL.

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.

The Data Engineer will clean, manage, and analyze datasets, automate ETL processes, and collaborate with traders and software engineers to derive insights.