Full Stack Engineer, Data Analytics

Job Duties & Responsibilities

• Develop a strong understanding of customer business processes and exam operations
• Collaborate with Lead Engineers and Solution Architects to evaluate feature requests, provide effort estimates, and support sprint planning
• Participate in peer code and design reviews to ensure quality and consistency
• Contribute to the development and scalability of enterprise analytics platforms supporting mission-critical exam operations
• Write code to implement, and maintain cloud-native data architectures, telemetry pipelines, APIs, and reporting systems
• Build secure, scalable full-stack solutions across backend services, data platforms, and front-end analytics applications
• Implement end-to-end solutions—from data ingestion and transformation to service layers and dashboards
• Ensure systems meet requirements for scalability, data integrity, availability, and reliability
• Integrate monitoring, telemetry, and operational readiness into system components
• Develop and maintain automated end-to-end and UI testing frameworks using Playwright to ensure application quality and reliability

Required Skills & Experience

• 3+ years of experience designing, building, and supporting scalable, cloud-native applications, data pipelines, analytics platforms
• 1+ years of experience developing modern front-end applications using TypeScript and React
• Coding/scripting experience with Python, JavaScript, React.js, Node.js
• Strong knowledge and experience with distributed cloud infrastructure within AWS
• Experience with Backstage, LaunchDarkly, GitHub Actions is a plus
• Exceptional analytical, conceptual, and problem-solving abilities
• Excellent communication and collaboration skills with an ability to present ideas in business-friendly and user-friendly language
• Strong hands-on experience with backend technologies such as Node.js (preferably TypeScript) and Python, building APIs and data processing systems
• Experience working with data ingestion, transformation, and orchestration pipelines for analytical and operational workloads
• Experience in building responsive, secure, and high-performance user interfaces using TypeScript, JavaScript, HTML, and CSS
• Familiarity with asynchronous programming and event-driven architectures
• Understanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3
• Experience using Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform, or AWS CLI
• Experience with real-time stream processing and Complex Event Processing (CEP) using Apache Flink or similar technologies is a plus
• Experience with automated testing frameworks, specifically Playwright for end-to-end and UI testing
• Strong focus on scalability, data integrity, reliability, and quality engineering practices
• Good problem-solving, analytical thinking, and communication skills