Python Full Stack Dev (hybrid)
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Before you apply
LocationValenzuela, Metro Manila, Philippines
Work modehybrid
Typecontract
SenioritySenior
Experience5+ yrs
Company size201–500 people
PostedSep 2, 2026 · 2mo ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Sep 2, 202665% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Python
Snowflake
REST API
AWS
Claude Code
Cursor
GitHub Copilot
pandas
requests
openpyxl
regex
SQL
Flask
FastAPI
HTML
JavaScript
S3
Lambda
EC2
Secrets Manager
Parameter Store
Microsoft Graph API
Alteryx Designer
Airflow
Prefect
Step Functions
React
Vue
KNIME Analytics Platform
Great Expectations
About the role
We are looking for 2 Python Full-Stack Developer / Data Applications Engineers with 5 years of 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.
The developers will work across the same surface: Python pipelines, Snowflake workflows, REST API integrations, and web-based self-service applications that replaces the 40+ Alteryx Gallery applications used daily by five internal teams.
Requirements
•
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
Nice to have
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
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