Jobs at Rearc

As a Senior Data Engineer, lead data engineering efforts, design data solutions, optimize data workflows, and mentor junior engineers, focusing on cloud-based systems.

As the Head of Sales, you'll build Rearc's sales function, drive new business in enterprise data and AI, and establish partnerships. You'll lead the sales team, develop sales processes, and represent Rearc at industry events while maintaining relationships with C-suite executives.

As an AI Application Engineer, you will design, deploy, and enhance AI and ML solutions in collaboration with teams, ensuring alignment with business objectives.

As a Lead Data Engineer, you'll manage data engineering projects, optimize data workflows, mentor team members, and enhance data solutions through collaboration and best practices.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

The Senior Data Engineer will lead the development of complex data pipelines and architectures, ensuring efficiency, scalability, and governance. Responsibilities include strategic leadership, innovation in data processes, collaboration with teams, and mentorship of junior engineers.

As a Data Engineer, you'll optimize data workflows, design robust data solutions, and collaborate with teams to support data-driven initiatives.

Seeking a Senior Java Developer with strong data engineering skills for designing complex solutions, collaborating with business teams, and supporting system integration.

As a Cybersecurity Engineer, you'll enhance detection strategies, develop automation workflows, and collaborate with teams to elevate cybersecurity posture, leveraging SIEM and other technologies.

The Cyber Threat Detection Engineer will develop detection capabilities, automate processes, enhance threat alerts, and collaborate with customer teams to improve cybersecurity posture.

This role involves designing and developing Java applications for financial data processing, optimizing data pipelines, and mentoring other engineers while ensuring system reliability and performance.

The Marketing Manager will shape marketing strategies for AI, data, and cybersecurity, translating technical solutions into clear messaging for enterprise customers, manage content, and drive go-to-market initiatives.

The AI Application Engineer will design and deploy AI systems, collaborate with teams, implement Generative AI solutions, and promote continuous learning in AI practices.