Note To Applicants
Eligibility:
This position is open to candidates residing in Latin America.
Application Language:
Please submit your CV in English. Applications submitted in other languages will not be considered.
Professional Presentation:
We encourage you to showcase your professional experience by including a Loom video in the application form. While this is optional, candidates who provide a video presentation will be given priority.
About The Role
We're seeking a Data Engineer / Web Developer with strong programming skills to design and build interactive, data-driven web applications.
This role combines data engineering, backend logic, and front-end development, ideal for someone who loves turning complex data into actionable insights through clean, efficient systems.
ResponsibilitiesData Architecture & Integration
Design, build, and maintain robust data pipelines to import, clean, and process data from multiple sources (APIs, CSVs, Excel, databases, etc.).
Web Application Development
Develop responsive, interactive web applications for data input, manipulation, and visualization.
Implement backend logic and APIs to support advanced calculations and dynamic reporting.
Data Visualization & Analytics
Build dashboards and interactive visual reports that track performance and key metrics.
Leverage visualization libraries such as , , or Plotly to deliver intuitive user insights.
Automation & Integrations
Automate data workflows and create seamless integrations between tools, databases, and analytics platforms.
Implement scheduled tasks, scripts, and APIs to streamline operations.
Collaboration & Continuous Improvement
Partner with product and coaching teams to understand data needs and translate them into technical solutions.
Monitor and optimize application performance, scalability, and usability.
Requirements
Proven experience as a Data Engineer, Full-Stack Developer, or similar role.
Strong programming skills in Python and JavaScript.
Experience with frameworks such as , Flask, Django, or React.
Proficiency in SQL and familiarity with databases like PostgreSQL, MySQL, or MongoDB.
Hands-on experience with data processing, ETL, and automation.
Solid understanding of data visualization and analytics tools (e.g., , , Plotly).
Experience working with APIs and integrating third-party systems.
Strong analytical and problem-solving abilities with attention to detail.
Excellent communication skills and ability to collaborate with non-technical teams.
If this opportunity sounds good to you, send us your resume
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