Data Engineer

Design, develop, deploy, and operate scalable cloud-based data, analytics, automation and tooling solutions using modern data platforms and Cloud services. Integrate AI capabilities such as Azure OpenAI, Cognitive Services, and ML models to enhance system intelligence and user productivity. Apply engineering best practices as you design and deliver high-quality, scalable solutions. Own your solution end-to-end through design, implementation, and operations. Implement robust monitoring, logging and alerting for proactive issue detection. Leverage telemetry and usage analytics to understand customer behavior and inform product decisions. Collaborate cross-functionally across stakeholders, product managers, and other engineers to deliver integrated, customer-focused experiences. Champion a culture of diversity, inclusion, customer obsession, and continuous learning. Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Fluency in English to read, write and speak. Familiarity with AI/ML fundamentals, tools (like Azure ML, OpenAI), or data analytics workflows. Understanding of version control systems (e.g., Git) and DevOps practices. Curiosity, collaboration mindset, and a passion for solving real-world customer problems. Prior experience using agentic plugins, agents, skills, hooks, etc. Ability to ramp up quickly on new technologies, and passion for building highly scalable, reliable, cloud services, and data. Experience with or exposure to Agile and iterative development processes.