Data Engineer jobs in New York, NY

You will build and manage data pipelines to turn raw logs into canonical datasets while defining key metrics for consumer products. Additionally, you will create self-serve data products and dashboards to enable data-driven decision-making across the organization.

Design, build, and maintain scalable data pipelines while developing applications to support customer-facing products. Enhance blockchain reporting infrastructure and provide self-service tools to empower data consumers across the organization.

You will design and develop simulation environments to generate synthetic data for training autonomous driving networks. This involves building sensor simulation workflows and managing large-scale pipelines in cloud or data center environments.

The Senior Data Platform Engineer will design, build, and operate core platform capabilities including ingestion frameworks, storage infrastructure, and streaming services. They will also develop APIs and agentic interfaces to enable AI agents and downstream teams to interact with platform data and capabilities.

Design, develop, and maintain Java-based applications while building and optimizing RESTful APIs and backend services. Collaborate with cross-functional teams to deliver scalable, cloud-ready solutions using AWS and relational databases.

The Data Operations Engineer will monitor and troubleshoot trading processes while developing and maintaining CI/CD pipelines for data and strategy deployment. They will also implement quality control measures and lead continuous improvement initiatives to enhance production efficiency.

The engineer will support mission-critical Order Management Systems and Market Data platforms while partnering with trading, risk, and engineering teams. Responsibilities include providing level one and two production support, monitoring system health, and acting as a primary technical contact for brokers and exchanges.

Design, develop, and optimize scalable ETL/ELT pipelines and data processing solutions on Google Cloud Platform. Collaborate with stakeholders and engineering teams to build robust data models and maintain enterprise data platforms.

Design and deliver trusted Snowflake data products and maintain a semantic layer that ensures consistent business logic across analytics and AI applications. Lead complex semantic-modeling initiatives while partnering with business owners to translate source data into certified, reusable structures.

The Solution Engineer will provide technical sales partnership to drive the adoption of Data Foundation solutions, including MuleSoft and Informatica. They will conduct technical discovery, deliver architecture workshops, and build Proofs of Concept to align technical solutions with customer business outcomes.

Provide technical sales partnership by performing technical discovery, delivering product demonstrations, and creating architectural recommendations. Collaborate with internal teams to improve products and manage customer engagements throughout the sales cycle.

Design, maintain, and optimize data-ingestion and analytics pipelines using the Elastic Stack to support cybersecurity operations. Collaborate with cross-functional teams to ensure data quality, platform performance, and actionable insights for threat detection and incident response.