Full Stack Engineer External Data Analytics

Position Title: Full Stack Engineer, External Data Analytics
Location: Remote, EST Hours
Duration: Long Term Contract

About the Opportunity: 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.

Must Have Skills:

• 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

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

About You:

• 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

AI & Modern Engineering Capabilities

• Experience working with LLMs, agent frameworks, or AI orchestration tools
• Familiarity with agentic workflows, autonomous system
• Hands-on experience with AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, or similar) and integrating them into development workflows
• Understanding of RAG architectures, prompt engineering, and tool-augmented AI systems

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

What We re Looking For

• Strong ownership mindset with the ability to drive end-to-end delivery
• Deep focus on performance, scalability, and reliability
• Curiosity and hands-on engagement with emerging AI technologies
• Ability to operate effectively in a fast-moving, contract-based environment
• Clear communication and strong collaboration across technical and non-technical stakeholders.

EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.