Top Senior Level Data Engineer Jobs in NYC
Lead centralized Data functions at Square, architecting Data strategy, overseeing Data Science, Analytics, Machine Learning, and Data Engineering teams. Drive data platform roadmap, establish data governance, enhance product innovation, deliver insights, and build top-tier data team. Require 15+ years experience in data-related fields, extensive leadership in data-focused teams, and proficiency in data technologies like SQL, Looker, and Python.
Seeking an experienced Senior Analytics Engineer to develop and maintain foundational data infrastructure essential for expansion and scalability. Responsibilities include designing data warehouse, constructing data pipelines, leading quality assurance initiatives, and optimizing data processes. Collaboration with cross-functional teams is key. Requires 7+ years of experience with diverse datasets.
The MDGO Data Governance Technical Data Steward role involves supporting enterprise data management tools, integration projects, and technical solutions architecting for Data Governance and Data Quality. Responsibilities include engaging with technical staff and stakeholders, designing solutions, collating project requirements, and providing technical support throughout project lifecycle.
The AI Cloud Data Engineer at MetLife Data & Analytics is responsible for developing ELT processes, building data warehouses, and implementing data ingestion using cutting-edge cloud technologies. The role involves collaborating with global teams to drive project delivery and performance improvements.
Lead management, tracking, and reporting of GHG emissions and other environmental metrics for a global company. Responsible for overseeing software and inventory management processes, analyzing sustainability metrics, and supporting sustainability goals and reporting requirements.
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Lead the integration of SAP MDG and BODS for a seamless transition during SAP S/4 transformation. Design and implement SAP MDG and Data Services solutions, ensure data consistency, and collaborate with business users and offshore teams.
Manager role in leading efforts to scale existing data offerings, establish technical strategy for Data Platform, optimize technical ecosystem, and collaborate with engineers and leaders. Requires deep technical knowledge in infrastructure, data, and cloud, with skills in AI/ML, analytics, and troubleshooting.
Head of Data responsible for leading centralized Data functions at Square including Data Science, Analytics, Machine Learning, and Data Engineering. Will drive data platform strategy, oversee data teams, establish data governance, deliver insights, and build a top-tier data team.
The VP of Machine Learning Engineering at Rokt will lead the research, experimentation, and implementation of new ML models critical for the company. They will shape and lead exceptional teams, develop and deploy ML models for various applications, collaborate with cross-functional teams, provide technical leadership, and stay current with the latest ML research.
As a Data Management Lead for Co-pilot in the Employee Experience team, specializing in data governance, data quality, protection, and compliance. Responsible for guiding cross-functional teams, maintaining data integrity, supporting analytics efforts, and engaging with senior leaders. Represent Co-pilot in all things data to senior management and key stakeholders.
As a Senior Data Operations Specialist at ServiceNow's Advanced Technology Group, you will be responsible for evolving data services and capabilities for AI and ML solutions, supporting engineering teams, and providing excellent support to business units in handling customer datasets.
Seeking a Director of Data Science to lead a team in leveraging data for business decisions, optimizing marketing strategies, and driving business growth through analytics. Responsibilities include developing quantitative models, building automated reporting, and monitoring marketing campaigns.
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