Top Senior Level Data & Analytics Jobs in Rochester, NY
The Senior Data Engineer will develop and scale a high-traffic digital ad exchange, mentor junior engineers, implement software best practices, and contribute to the architectural strategy. Responsibilities include shipping features, optimizing performance, and enhancing the overall platform.
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The Senior IMS Database Administrator is responsible for creating, maintaining, and troubleshooting client databases. This includes performing database upgrades, daily maintenance, monitoring performance, and ensuring database integrity. The role also involves vendor collaboration and participation in on-call responsibilities, while implementing best practices in database management and recovery processes.
The role involves implementing and supporting Credit and Debit Card programs, managing client training, documentation, and GoLive activities. The analyst will configure card functionality, support clients before and after implementation, diagnose issues, and create process documentation while ensuring data integrity during conversions.
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The Technical Lead at Komodo Health is responsible for technical and leadership aspects, collaborating with various teams to understand and articulate technical requirements. Responsibilities include building relationships, providing technical design guidance, and making strategic decisions to address solution design needs.
The Oracle Cloud Financials Analyst is responsible for working with clients to understand their financial management needs, designing solutions using Oracle Fusion Financials, configuring applications, conducting testing, overseeing data migration, and training users on new systems. Post-implementation support is also a key responsibility.
The Senior Compensation Analyst will design and oversee compensation programs including salary structures and merit matrices. Responsibilities involve analyzing compensation trends, collaborating with HR, preparing SEC documents, and managing budget and compensation processes. The role requires a strong analytical background and experience in compensation compliance and strategy.
The Senior Data Engineer will architect and construct a new version of the data services platform, improve and maintain data services, ensure data governance, and integrate third-party tools into a scalable platform, while enhancing system performance and reliability.
As a Data Engineer at Roofstock, you will architect and construct the Data Services 2.0 platform, improve the data services platform, ensure data governance, develop effective architectures, and integrate third-party tools for optimized performance.
The Senior Data & AI Specialist at IOTA will lead data analysis, model development using machine learning, and product strategy development. Responsibilities include data visualization, cross-functional collaboration, and process optimization to enhance data management and insights.
The Senior Data Scientist will conduct research and develop advanced machine learning models to solve complex business problems while collaborating with cross-functional teams. Responsibilities include mentoring junior data scientists, integrating models into products, communicating results to stakeholders, and staying updated on industry trends.
The Lead for Data Science and Engineering Learning Experience will develop and execute a comprehensive strategy for data education programs, oversee curriculum design and delivery, and manage a team of educators and researchers while ensuring alignment with industry standards.
The Senior Data Warehousing Developer is responsible for designing, implementing, and maintaining data warehouses and data lakes. This role involves creating end-to-end BI solutions, ensuring data security and quality, and mentoring junior team members. Collaboration with cross-functional teams and participation in architecture designs are also key responsibilities.
As a Staff Machine Learning Engineer, you will design and implement ML systems for security applications, lead technology development, and collaborate with engineers and data scientists. You'll assess problems suitable for ML and guide design decisions to optimize solutions involving Edge IoT devices and Cloud Services.
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