Full Stack Engineer, External Data Analytics

About the role

We operate at the intersection of engineering excellence, operational rigor, and stakeholder partnership—translating complex data systems into dependable decision-support tools for technology, operations, security, and client-facing teams. We celebrate deep expertise in data engineering, observability, security, and platform reliability while delivering as a cohesive, high-performing team aligned to enterprise outcomes.

Responsibilities

• Contribute to the design, development, and reliability of enterprise analytics platforms that support mission-critical exam operations.
• Build scalable data architectures, real-time telemetry pipelines, and high-performance reporting systems that operate reliably during peak exam delivery.
• Write code to implement, and maintain cloud-native data architectures, telemetry pipelines, APIs, and reporting systems.
• Implement secure, scalable full-stack solutions across backend services, data platforms, and front-end analytics applications.
• Apply established architectural patterns, automation practices, and observability standards to ensure systems meet requirements for scalability, data integrity, availability, and reliability.
• Develop and maintain automated end-to-end and UI testing frameworks using Playwright to ensure application quality and reliability.
• Integrate monitoring, telemetry, and operational readiness into system components.
• Support and collaborate with team members to promote best practices in development, testing, and system design.
• Partner with product, operations, and security teams to deliver aligned solutions.
• Contribute to documentation, knowledge sharing, and continuous improvement initiatives.
• Collaborate with QA and engineering teams to integrate automated testing into CI/CD pipelines.

Requirements

• 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.
• Familiarity with ML lifecycle concepts and tools.
• 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.

Qualifications

• A passion for expanding educational and career opportunities and mission-driven work.
• A curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and a comfort learning and applying new digital tools independently and proactively.
• A clear and concise communication skills, written and verbal.
• A learner's mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input.
• A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking.
• A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success.

Skills

• Cloud Computing
• DevOps
• Microservices
• AWS
• Backstage
• LaunchDarkly
• Github Actions
• TypeScript
• React
• Python
• JavaScript
• Node.js
• Frontend Development
• Backend Development
• Cloud Native
• Data Pipelines
• Analytics Platforms
• CI/CD
• Playwright
• Monitoring
• Testing
• Observability
• ML Lifecycle
• Infrastructure as Code
• Real-Time Stream Processing
• Complex Event Processing
• Automated Testing
• Scalability
• Data Integrity
• Reliability
• Quality Engineering
• Problem Solving
• Communication
• Collaboration

Benefits

Not specified.

Pay

Not specified.

Schedule

Not specified.