Full Stack Engineer, Data Analytics

Ideal Candidate Profile: Seeking a Full Stack Engineer, Data Analytics who will contribute to the design, development, and reliability of enterprise analytics platforms that support mission-critical exam operations. Candidate will help build scalable data architectures, real-time telemetry pipelines, and high-performance reporting systems that operate reliably during peak exam delivery. Candidate bring strong cloud full-stack engineering experience, with hands-on skills across backend services, data platforms, APIs, and front-end analytics applications. Seeking a skilled engineer with experience in AWS event-driven serverless cloud environment; scripting using Python, JavaScript, and solid communication skills and naturally curious about technology and comfortable working on cloud-native solutions end to end—from data ingestion and transformation to secure service layers and intuitive dashboard experiences. Job Duties & Responsibilities Software Solutioning & Design (10%) 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 Design & Implementation (65%) 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 Apply established architectural patterns, automation practices, and observability standards 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. Embed monitoring, telemetry, and operational readiness into all platform components Technical Contribution & Engineering Excellence (15%) Contribute to solving complex technical problems and improving system design Support and collaborate with team members to promote best practices in development, testing, and system design Continuously improve skills across cloud, data, full-stack technologies, and test automation frameworks Communicate technical approaches, tradeoffs, and solutions clearly to team members and stakeholders Promote best practices in secure system design, automation, performance optimization, and resilient engineering Team Operations & Cross-Functional Collaboration (10%) Partner with product, operations, and security teams to deliver aligned solutions Support exam readiness through participation in testing, monitoring, and reliability efforts Contribute to documentation, knowledge sharing, and continuous improvement initiatives Collaborate with QA and engineering teams to integrate automated into CI/CD pipelines Foster a culture of ownership, documentation, accountability, and continuous improvement 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 Technical knowledge of Cloud Computing, DevOps, and Microservices 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 Experience working with AWS resources such as Lambda, SNS, SQS, S3, Step Functions, EC2, ECS, VPC, IAM, CloudWatch, DynamoDB Excellent communication and collaboration skills with an ability to present ideas in business-friendly and user-friendly language Ability to prioritize and execute tasks in a high-pressure environment 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 int