Full Stack Engineer, Data Analytics

Requirements

Must have:

- We require 3+ years of experience designing, building, and supporting scalable cloud-native applications, data pipelines, or analytics platforms.

• We require 1+ years of experience developing modern front-end applications with TypeScript and React.
• We require strong hands-on experience with backend technologies such as Node.js, preferably TypeScript, and Python for APIs and data processing.
• We require experience with cloud computing, DevOps practices, and microservices architectures.
• We require deep familiarity with AWS and distributed cloud infrastructure, including Lambda, SNS, SQS, S3, Step Functions, EC2, ECS, VPC, IAM, CloudWatch, and DynamoDB.
• We require experience with data ingestion, transformation, and orchestration pipelines for analytical and operational workloads.
• We require experience building responsive, secure, and high-performance user interfaces using TypeScript, JavaScript, HTML, and CSS.
• We require familiarity with asynchronous programming and event-driven architectures.
• We require understanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3.
• We require experience with Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform, or AWS CLI.
• We require experience with automated testing frameworks, especially Playwright for end-to-end and UI testing.
• We require excellent communication, collaboration, analytical thinking, and problem-solving skills.
• We require the ability to prioritize and deliver in a high-pressure environment.
• We require authorization to work in the United States for any employer.
• We value a learners mindset, curiosity about emerging technologies, and a commitment to continuous improvement.

Responsibilities:

- We develop cloud-native analytics platforms that support mission-critical exam operations.

• We build and maintain scalable data architectures, telemetry pipelines, APIs, and reporting systems.
• We create secure, resilient full-stack solutions spanning backend services, data platforms, and front-end analytics applications.
• We implement end-to-end workflows from data ingestion and transformation through service layers and dashboard experiences.
• We apply established architectural standards, automation practices, and observability principles to strengthen reliability.
• We ensure systems meet expectations for scalability, data integrity, availability, and operational resilience.
• We embed monitoring, telemetry, and readiness capabilities into platform components.
• We design, develop, and maintain automated end-to-end and UI testing frameworks using Playwright.
• We collaborate with lead engineers and solution architects to assess feature requests, estimate effort, and support sprint planning.
• We participate in peer code and design reviews to uphold quality and consistency.
• We partner with product, operations, security, and QA teams to deliver aligned solutions.
• We support exam readiness through testing, monitoring, and reliability initiatives.
• We contribute to documentation, knowledge sharing, and continuous improvement efforts.
• We help integrate automated testing into CI/CD pipelines.
• We solve complex technical problems and improve system design through close collaboration with the team.
• We communicate technical tradeoffs and solutions clearly to teammates and stakeholders.
• We stay current on cloud, data, full-stack, observability, and test automation technologies.

Company:

We are a mission-driven team focused on ensuring enterprise exam analytics are consistently available, accurate, and trusted. We work at the intersection of engineering excellence, operational discipline, and stakeholder partnership, turning complex data systems into dependable decision-support tools for technology, operations, security, and client-facing teams. Our team values thorough documentation, intentional automation, and scalable design from day one. This role is a junior to mid-level Full Stack Engineer opportunity within our cloud-native analytics environment, where we build reliable, high-performance solutions that support critical exam experiences.

We offer the chance to work across AWS, modern front-end and backend technologies, observability, and automated testing while contributing to a collaborative, high-performing culture centered on ownership, accountability, and continuous improvement.