Top Senior Level Data Engineer Jobs in Rochester, NY

The VP of Data and Content Engineering will lead data strategy and content initiatives, develop data models, enhance user experiences, promote engineering excellence, and collaborate with cross-functional teams to drive customer value and innovation for Flexera's platforms.

The Senior Data Engineer will develop robust and scalable data pipelines, architect innovative data products, and integrate advanced AI techniques to convert raw data into actionable insights, collaborating with various teams to enhance user experience.

The Senior Data Engineer will develop and maintain ETL/ELT pipelines, analyze and model complex data, and collaborate across teams to optimize data solutions for performance and scalability. Responsibilities include working with technologies like SQL, Python, and AWS, and ensuring data privacy and security in architectures.

The Senior Data Engineer will design, maintain, and enhance the company's data analytics pipeline, focusing on data warehouse and ETL processes. Responsibilities include developing tools for monitoring data health, collaborating with stakeholders, and ensuring data accuracy and reliability.

As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.

The Data & Analytics Solution Architect will lead the design and implementation of data warehouses and analytics solutions while providing architectural guidance. This role involves collaborating with team members and clients to understand business requirements, developing KPIs, and managing the full lifecycle of BI applications using Microsoft tools and technologies.

The VP of Engineering, Data at Axios will lead the data engineering, data science, and analytics teams, overseeing the data platform's architecture and infrastructure. They will manage the data leadership team, set the vision and strategy for data initiatives, ensure alignment with company goals, and foster a diverse and inclusive environment.