Full Stack Engineer - External Data Analytics

Role: Full Stack Engineer, External Data Analytics Location: Remote, EST work hours (screen for this) Type: long term temp (extensions twice a year, Jun/Dec. Profile: mid-level engineer meeting the tech stack requirements listed below. Rates: $60 to $70/hour W2About the Team : External Data Analytics Team 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.About You You have: 3+ years of experience designing, building, and supporting scalable, cloud-native applications, data pipelines, analytics platforms1+ years of experience developing modern front-end applications using TypeScript and React.Coding/scripting experience with Python, JavaScript, React.js, Node.jsTechnical knowledge of Cloud Computing, DevOps, and MicroservicesStrong knowledge and experience with distributed cloud infrastructure within AWSExperience with Backstage, LaunchDarkly, GitHub Actions is a plusExceptional analytical, conceptual, and problem-solving abilitiesExperience working with AWS resources such as Lambda, SNS, SQS, S3,Step Functions, EC2, ECS, VPC, IAM, CloudWatch, DynamoDBExcellent communication and collaboration skills with an ability to presentideas in business-friendly and user-friendly languageAbility to prioritize and execute tasks in a high-pressure environmentStrong hands-on experience with backend technologies such as Node.js (preferably TypeScript) and Python, building APIs and data processing systemsExperience working with data ingestion, transformation, and orchestration pipelines for analytical and operational workloadsExperience in building responsive, secure, and high-performance user interfaces using TypeScript, JavaScript, HTML, and CSSFamiliarity with asynchronous programming and event-driven architecturesUnderstanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3Familiarity with ML lifecycle concepts and toolsExperience using Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform, or AWS CLIExperience with real-time stream processing and Complex Event Processing (CEP) using Apache Flink or similar technologies is a plusExperience with automated testing frameworks, specifically Playwright for end-to-end and UI testingCuriosity 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.Nice to Have: Experience with monitoring and analytics tools such as Grafana, InfluxDB, or similarExperience with cloud data stores and query engines such as Amazon Redshift, Athena, DynamoDB, Apache Iceberg and S3-based data lakes a plusUnderstanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3Understanding of data isolation, performance segmentation, and secure access in distributed systemsFamiliarity with observability and operational strategies in distributed architecturesExperience integrating automated testing frameworks like Playwright into CI/CD pipelines