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Full Stack Developer - Data Platform - Nearshore (Ecuador) Remote

Connect Tech+TalentUnited States🇺🇸United StatesPosted 19 Jul 2026

Why This Role Stands Out

This remote Full Stack Developer role offers significant growth potential by allowing you to build scalable applications on modern data platforms using Python, SQL, and GraphQL. You'll thrive if you have 6-8 years of experience and enjoy working across UI, APIs, and data-driven components, so apply today to join this innovative team!

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Role: Full Stack Developer - Data Platform
Location: Nearshore (Ecuador) Remote
Experience: 6-8 Years

Job Description
We are seeking a Full Stack Developer with strong data platform exposure to build scalable applications and services around modern data engineering workflows.
You will work across UI, APIs and data-driven components using Python, SQL, GraphQL and cloud-native data platform technologies.

Key Responsibilities
Full Stack Development
- Build responsive application features and backend services supporting data platform workflows.
- Develop API integrations using GraphQL and REST patterns with clean, reusable code.
- Work with Python, SQL and data services to support reporting, analytics and operational use cases.
Data Platform Integration
- Collaborate with data engineers to integrate Snowflake, Dagster, dbt, PySpark and related pipelines.
- Translate business and data requirements into reliable application features.
- Support performance, reliability and observability of data-driven application components.
Collaboration & Delivery
- Partner with architects, analysts and QA teams to deliver end-to-end vertical slices.
- Participate in code reviews, sprint ceremonies and CI/CD-driven delivery.
Required Technical Skills & Competencies
6+ years of full stack development experience with strong backend and data platform exposure.
Strong hands-on experience with Python, SQL, GraphQL and modern API development.
Working knowledge of Snowflake, Dagster, dbt or PySpark-based data workflows.
Experience building scalable services and application components in Agile delivery models.
Strong debugging, performance tuning and engineering discipline.
Good to Have
Exposure to modern data platform modernization or analytics engineering programs.
Experience with cloud-based data platforms and distributed processing frameworks.
Familiarity with CI/CD pipelines, automated testing and source control practices.
Knowledge of data quality, lineage and pipeline orchestration concepts.
Must-Have Skills
Full stack development experience with Python, SQL and API integration.
Hands-on exposure to Snowflake, Dagster, dbt or PySpark.
Ability to work across application and data platform teams.
Comfortable in a Git / CI-CD-driven workflow.
Desired Attributes
Strong ownership mindset and engineering discipline.
High attention to detail with strong analytical and problem-solving skills.
Effective communicator who collaborates well across distributed, cross-functional teams.
Comfortable working in a fast-paced environment with evolving priorities.
Passion for continuous improvement, clean code and delivery excellence.

Skills

SQL
Snowflake
Agile
Git
GraphQL
Python
REST
dbt

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