Full Stack Engineer, External Data Analytics

Title: Full Stack Engineer, External Data Analytics

Location: Remote

About the Opportunity:

Pay range: $70/hr. to $75/hr. range

Must Have

• Agentic AI
• Airflow AWS
• Amazon Dynamo
• Amazon EMR
• Amazon Glue
• Amazon Lambda
• Amazon S3
• Amazon SNS SQS
• Amazon Step Functions
• AWS - Quick Suite/Tableau
• Grafana
• JavaScript ES6
• Python
• RBAC
• react
• TypeScript

As 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

• 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

About 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

• 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 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