Full Stack Engineer, External Data Analytics

Full Stack Engineer, External Data Analytics#26-13018 Reston, VA Fully Remote Job Description

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."