Full-Stack Developers - Data Applications

Octal Philippines Incorporated; Philippines; On-site; PHP 1,500,000 - 2,500,000; Full time

Job summary

Octal Philippines Incorporated is hiring two Full-Stack Developers, Data Applications, to build backend data pipelines and the self-service layer for internal teams. You will craft Python pipelines, Snowflake workflows, REST API integrations, and a web UI that replaces 40+ Alteryx Gallery apps used daily by five internal teams.

Join an AI-assisted development model with Claude as a co-author across the engineering lifecycle, designing scalable AWS-based data architectures and delivering

Qualifications

• 7+ years of Python development in production settings.
• Solid Snowflake SQL with complex queries and data ops.
• Experience designing end-to-end data pipelines and self-service data tools.

Responsibilities

• Develop backend data pipelines and the self-service application layer.
• Integrate REST APIs and build a full-stack web app using Python and frontend tech.
• Champion AI-assisted development practices and secure, scalable architectures.

Skills

Python development

Snowflake SQL

Data pipeline design

REST API design

Full-stack web app development

AWS data services

AI-assisted development

Agentic coding tools

Git version control

Production-scale pipelines

Self-service data tools

Alteryx familiarity

Workflow orchestration

Tools

Flask

FastAPI

React/HTML/JS

AWS Lambda

S3

Step Functions

Glue

ECS/Fargate

Snowflake architecture

Claude AI tools

Airflow/Prefect

Alteryx designer

Job description

Job Description:

About the Role

We are hiring two Full-Stack Developers, Data Applications, who will develop the backend data pipelines and self-service application layer.

The developers will work across the same surface: Python pipelines, Snowflake workflows, REST API integrations, and web-based self-service applications that replace 40+ Alteryx Gallery apps used daily by five internal teams.

Our team operates in an AI-assisted development model. We use Claude (Anthropic) as an active co-author across the full engineering lifecycle, code generation, agentic task execution, architectural review, and documentation. This is not optional tooling. It is how we move fast with a lean team against a hard deadline.

• 7+ years of Python development — pandas, requests, openpyxl, regex as daily tools; comfortable owning a production codebase end to end


• Solid Snowflake SQL — joins, CTEs, window functions, write operations (INSERT, MERGE, TRUNCATE/INSERT)


• Data pipeline architecture — proven ability to design a pipeline from scratch: choose the right processing model (batch vs. event-driven), select appropriate AWS services, and defend those decisions; has produced architecture decisions that were adopted by a team, not just implemented someone elses design


• 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 data pipeline architecture — hands-on experience selecting and configuring AWS services for a data workload from scratch: Lambda, Step Functions or Glue for orchestration, ECS/Fargate or EC2 for execution, S3 for storage, Secrets Manager for credential management, and EventBridge for scheduling; can justify which service to use and why for a given context


• 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


• Ability to reverse-engineer undocumented legacy workflows and reproduce their output exactly in a new stack — treating existing outputs as the test oracle


• Git proficiency — branching, PRs, versioned releases


• Production-scale pipeline experience — has owned a data pipeline serving multiple internal or external consumers, running on a defined schedule with SLA implications, and has debugged it in production; small or solo projects do not meet this bar


• Strong Plus


• Microsoft Graph API — SharePoint file writes, list operations, and email dispatch


• Snowflake architecture — beyond querying: has designed table structures, configured roles and grants, managed compute sizing, or used cloning and time-travel in a production warehouse


• Experience building self-service data tools or internal ops tooling for non-technical users


• Familiarity with Alteryx Designer (understanding what youre replacing is a meaningful head start)


• Workflow orchestration — Airflow, Prefect, or AWS Step Functions; has built and maintained DAGs with task dependencies, retry logic, and failure alerting in production

Requirements