Top Remote Senior Data Engineer Jobs in NYC, NY

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

The Senior Solutions Architect will lead customer engagements, design data architectures, and implement solutions using the Databricks platform, primarily in financial services.

Lead the Solutions Architecture team to design scalable, customer-centric technical solutions and align them with business needs, while mentoring team members and collaborating across departments.

As a Senior Integration Analyst, you will document requirements, design solutions for system integrations, and facilitate communication between business stakeholders and integration teams.

The Senior Data Platform Engineer will enhance data infrastructure, improve data quality, and lead CDC initiatives, collaborating across teams to optimize data usage and decision-making.

Provide pre-sales technical leadership for data management and analytics solutions: assess customer needs, design and validate cloud data architectures (warehouses, lakehouses, ETL/ELT, RAG/GenAI), build demos/POCs, and support sales with presentations, integration planning, and technical guidance.

Lead a team to enhance systematic trading strategies, conduct research, improve algorithmic execution quality, and manage relationships with brokers.

Serve as a clinical subject-matter expert to design, develop, and deploy production-grade data and analytic solutions detecting fraud, waste, and abuse. Bridge clinical, data, and technology teams; support data governance, interoperability, NLP/AI/ML, and build clinical business rules and analytics for enterprise use.

Design and optimize end-to-end financial data pipelines and automated validations; build and maintain production-grade SQL repositories; perform forensic analytics to resolve discrepancies; serve as Finxact SME; lead governance, reporting automation, and cross-functional projects; mentor junior analysts and partner with Product and Engineering.