29 results for Data Platform Engineer Jobs in New York, NY, US

Lead the development of core components and APIs for a data platform team. Responsibilities include designing solutions for cloud-based data, consulting with users of SDKs and APIs, mentoring a team of engineers, contributing to technical design discussions, and collaborating with stakeholders to de...

Responsible for designing and implementing high-performance systems for distributed data processing, mentoring team members, improving the developer work environment, and documenting development procedures. Develops new features and algorithms to enhance core data platforms.

About MiddeskMiddesk makes it easier for businesses to work together. Since 2018, we've been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business ide...

As the founding engineer, you will architect a scalable data platform, unify data infrastructure, and ensure data accessibility for real-time decision making. Your responsibilities include designing and deploying data pipelines, optimizing infrastructure for performance and costs, and establishing a...

Responsible for designing and owning foundational data capabilities, influencing the roadmap for data infrastructure, developing tools for democratizing data access, and handling unique data models to enable analytics capabilities.

Responsible for leading data initiatives for the Clearing platform, developing and maintaining scalable data pipelines, building new data integrations, collaborating with product and business teams to enhance core data models, managing data replication and tooling, and supporting product teams on da...

Build and maintain systems for delivering large volumes of data, architect resilient distributed systems for real-time analytics, develop and launch data pipelines, and collaborate with various teams to implement data products. Focus on self-service tooling and data quality checks.

Responsible for building, maintaining, and scaling systems that deliver data points. Architect resilient distributed systems, develop and launch data pipelines, implement data products for analytics, and collaborate with various teams to improve reliability and documentation.

Responsible for building and maintaining data pipelines using Airflow and BigQuery, developing scalable data infrastructure, enhancing web scraping capabilities, and improving performance of the data platform interface layer. Collaborates with product engineers to support new product launches.