Full Stack Engineer, External Data Analytics

JOB DESCRIPTION
Our mission is high stakes: ensure enterprise exam analytics are consistently available, accurate, and trusted. 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 document thoroughly, automate intentionally, and design scale from day one. More than dashboard builders, we engineer the analytics backbone that supports ***'s most critical exam experiences and decision-making. We celebrate deep expertise in data engineering, observability, security, and platform reliability while delivering as a cohesive, high-performing team aligned to enterprise outcomes.



bout the Opportunity
s a Full Stack Engineer, you will contribute to the design, development, and reliability of enterprise analytics platforms that support mission-critical exam operations. You will help build scalable data architectures, real-time telemetry pipelines, and high-performance reporting systems that operate reliably during peak exam delivery.
You bring strong cloud full-stack engineering experience, with hands-on skills across backend services, data platforms, APIs, and front-end analytics applications. You are comfortable working on cloud-native solutions end to end-from data ingestion and transformation to secure service layers and intuitive dashboard experiences.
Junior to midlevel, but skilled engineer with experience in AWS event-driven serverless cloud environment; scripting using Python, JavaScript, and solid communication skills and naturally curious about technology.
You will contribute to engineering excellence by following established architectural patterns, automation standards, and observability practices that improve system reliability and operational readiness. This includes implementing robust automated testing strategies using tools to ensure quality, reliability, and seamless user experiences.
You understand cloud software delivery, tools, and processes that empower efficient and resilient delivery that adheres to top-notch development practices. You are technologically curious and seek out
opportunities to research emerging technologies and trends, standards, and products. Your excellent communication and collaboration skills allow you to effectively articulate solutions to the development community, enabling all to succeed. You are communicative, approachable, self-driven, and collaborative.



In this role, you will:
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
pply 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



bout You
You have:
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
bility 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 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
Nice to Have:
Experience with monitoring and analytics tools such as Grafana, InfluxDB, or similar
Experience with cloud data stores and query engines such as Amazon Redshift, Athena, DynamoDB, Apache Iceberg and S3-based data lakes a plus
Understanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3
Understanding of data isolation, performance segmentation, and secure access in distributed systems
Familiarity with observability and operational strategies in distributed architectures
Experience integrating automated testing frameworks like Playwright into CI/CD pipelines
ll roles at Client require:
passion for expanding educational and career opportunities and mission-driven work
uthorization to work in the United States for any employer
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.
Clear and concise communication skills, written and verbal
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.
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.
collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success.