Top Senior Level Jobs in Rochester, NY

The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.

The Data Engineer is responsible for designing and maintaining data structures, ensuring accuracy and accessibility of data, assessing existing data architecture, supporting BI reporting needs, and creating quality standards for data integrity, while working with clients to meet their data management needs.

The Customer Support Manager at RSAC will build and lead a support team, manage KPIs, ensure SLAs are met, and collaborate with internal teams to enhance product support and customer experience.

The Full Stack Software Engineer will focus on scaling backend systems and building infrastructure for handling complex clinical datasets. Responsibilities include collaborating with a diverse team to deliver on projects, learn rapidly, and tackle production challenges in a startup environment.

The Growth Marketing Manager will drive PAX brand growth by managing email, affiliate, paid social, and programmatic channels, optimizing the customer journey for acquisition and repurchase, overseeing creative testing, partnering with eComm for landing page optimization, and researching market trends.

The Supervisor, SPOC Svcg oversees the compliance and performance of the Single Point of Contact team in Loss Mitigation, managing a team of specialists, ensuring compliance with federal and state guidelines, conducting training, and managing performance metrics. Responsibilities include staff management, documentation, and collaborating with various teams to prevent foreclosure and provide loss mitigation solutions.

As a Backend Engineer (AI) at ThreeFlow, you will design and maintain scalable backend infrastructures for AI applications, collaborate with various teams, manage CI/CD pipelines, and ensure the performance and reliability of AI systems in production.