Sr Python Full Stack Developer-Data Applications (hybrid)

JobCubby; Philippines; Hybrid; PHP 1,000,000 - 2,000,000; Full time

Job summary

JobCubby in Philippines seeks a Senior Python Full-Stack Developer / Data Applications Engineer to own end-to-end data application projects. You will combine Python backend (Flask or FastAPI) with a responsive frontend, build production-grade APIs, and integrate Snowflake data workflows.

The role requires 5+ years of Python, deep Snowflake SQL, and AWS fundamentals, plus hands-on experience with AI-assisted tools and agentic coding platforms to deliver tangible outcomes in production

Qualifications

• 5+ years of Python development using pandas, requests, openpyxl, and regex daily.
• Strong Snowflake SQL skills including joins, CTEs, window functions, and DML (INSERT/MERGE).
• REST API experience with OAuth2, pagination, rate limiting, and JSON/XML parsing.
• Full-stack capability: Python backend (Flask or FastAPI) with HTML/JS frontend, capable of delivering end-to-end apps.
• Solid AWS fundamentals: S3 read/write, Lambda or EC2, Secrets Manager or Parameter Store.
• Experience using AI-assisted development tools (Claude, Copilot, GPT-4) as productive co-authors.
• Hands-on with agentic coding tools (Claude Code, Cursor, Devin) for real deliverables.
• Ability to adapt by rebuilding logic from existing documentation.
• Git proficiency: branching, PRs, versioned releases.

Responsibilities

• Develop and ship full-stack data applications in production.
• Collaborate with data teams to implement Snowflake-based data workflows.
• Apply AI-assisted coding methods to improve delivery and quality.

Skills

Python development

Snowflake SQL

REST API

Full-stack development

Flask/FastAPI

AWS fundamentals

AI-assisted development

Agentic coding tools

Git

Documentation/workflow

Tools

Claude Code

Cursor

GitHub Copilot

Devin

Git

Job description

We are looking for a Senior Python Full-Stack Developer / Data Applications Engineer with 5+ yearsof Python development experience, strong expertise in Snowflake and REST APIs, solid AWS fundamentals, and proven experience using AI-assisted and agentic coding tools such as Claude Code, Cursor, or GitHub Copilot in a production environment.

• 5+ years of Python development — pandas, requests, openpyxl, regex as daily tools
• Solid Snowflake SQL — joins, CTEs, window functions, write operations (INSERT, MERGE, TRUNCATE/INSERT)
• REST API experience — OAuth2, pagination, rate limiting, JSON/XML parsing
• Full-stack capability — Python backend (Flask or FastAPI) with HTML/JS frontend; able to build and ship a working web application end to end
• AWS fundamentals — S3 read/write, Lambda or EC2 execution, Secrets Manager or Parameter Store
• Demonstrated experience with AI-assisted development — using LLMs (Claude, Copilot, GPT-4, or equivalent) as active co-authors in a production engineering context, not just for autocomplete
• Hands-on experience with agentic coding tools — Claude Code, Cursor, Devin, or similar — directing autonomous AI execution for real deliverables
• Comfort working from existing workflow documentation to rebuild logic in a new stack
• Git proficiency — branching, PRs, versioned releases

Strong Plus:

• Microsoft Graph API — SharePoint file writes, list operations, and email dispatch
• Experience building self-service data tools or internal ops tooling for non-technical users
• Familiarity with Alteryx Designer (understanding what you're replacing is a meaningful head start)
• Workflow orchestration tools — Airflow, Prefect, Step Functions, or similar
• React or Vue for more complex frontend components
• KNIME Analytics Platform familiarity — relevant for the analyst self-service tool decision
• Data quality libraries — Great Expectations, phone numbers, email-validator
• Experience decomposing complex engineering problems into prompt sequences for agentic AI execution