Resumo da vaga

Full Stack Application Engineer (Analytics & Data Platforms)- Forsyth- Remote

Requisitos e responsabilidades

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Responsibilities

  • Design and develop modern, scalable web applications that deliver intuitive analytics experiences and support client-facing use cases.
  • Build reusable front-end components and contribute to full-stack solutions that integrate seamlessly with governed data platforms.
  • Translate business needs into technical solutions by partnering across Product, Data, and Engineering teams.
  • Integrate applications with curated data products using Databricks and AWS environments to ensure reliable and secure data delivery.
  • Contribute to backend services and APIs that enable data access, interactivity, and system integration.
  • Apply strong engineering practices including testing, version control, and code reviews to ensure quality and performance.
  • Support automation across development and data workflows, including CI/CD and deployment processes.
  • Monitor and optimize application performance and user experience using usage data and feedback.
  • Contribute to documentation, standards, and reusable patterns that improve consistency and scalability.
  • Leverage AI-assisted development tools thoughtfully to enhance efficiency and solution quality.

QualificationsRequired

  • 2+ years of experience building data-driven applications or analytics solutions.
  • Hands-on experience with React, JavaScript, HTML, and CSS, with a focus on usability and clean design.
  • Working knowledge of Databricks (SQL, workflows) and experience integrating data into applications within AWS environments such as S3.
  • Experience with GitHub or similar version control tools in collaborative development environments.
  • Understanding of APIs and data interfaces for consuming and delivering data.
  • Strong problem-solving skills, attention to detail, and commitment to high-quality output.
  • Ability to collaborate effectively in cross-functional teams and communicate technical concepts clearly.

Preferred

  • Bachelor’s degree in a related field.
  • Experience working with large or complex datasets, including healthcare or claims data.
  • Familiarity with data pipelines, automation, and deployment workflows.
  • Experience documenting technical designs, data models, or workflows in a structured way
  • Ability to build out front-end tools and/or applications
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FocoFull Stack Engineer Data AnalyticsÁrea da vaga
Sinal de senioridadeMiddleNível do candidato
StackAWS, CI/CD, JavaScriptSkills principais
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