Top Senior Level Data Engineer Jobs in NYC

Lead data pipeline, data strategy, and data visualization efforts for the Global Product Analytics team. Design and implement data models, automate data processes, mentor team members, and guide the Analytics Engineering roadmap. Collaborate with stakeholders to develop advanced analytical solutions and ensure data quality for new product releases.

As a Senior Business Intelligence Engineer at Cash App, you will work with Analysts, Data Scientists, Software Engineers, and Product Managers to analyze data and make impactful business decisions. Responsibilities include creating and optimizing data models, standardizing metrics, building pipelines, promoting best practices, and creating dashboards.

Director of Category Management responsible for negotiating contracts, managing vendors, forecasting requirements, and achieving improvements in cost, quality, and service. Leads strategic procurement category management and develops category strategy to improve value and service for Pfizer. Manages spend analysis, savings tracking, and performance metrics for Global Procurement. Provides coaching and support to direct reports in opportunity analysis and project preparation.

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 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.