Full-Stack Developer - Data Application

Internetwork Expert; Makati; On-site; PHP 1,674,000 - 2,790,000; Full time

Job summary

Internetwork Expert is hiring two Full-Stack Developers, Data Applications, to build backend data pipelines and a self-service app layer. You will work across Python pipelines, Snowflake workflows, REST API integrations, and a web-based UI that replaces 40+ Alteryx Gallery apps used daily by five internal teams.

The team uses Claude and other AI tools as active co-authors to accelerate engineering lifecycle, from design to deployment, under tight deadlines.

Qualifications

• 7+ years of Python development with production codebase ownership.
• Solid Snowflake SQL skills including joins, CTEs, and writes.
• Experience designing data pipelines from scratch and AWS services selection.
• REST API experience with OAuth2, pagination, and parsing.
• Full-stack capability: Python backend + HTML/JS frontend.
• Hands-on AWS data orchestration: Lambda, Step Functions/Glue, S3, Secrets Manager.
• Experience using AI-assisted development tools in production contexts.
• Familiarity with agentic coding tools (Claude Code, Cursor, Devin).
• Ability to reverse-engineer legacy workflows and reproduce outputs.
• Git proficiency with branching, PRs, and releases.
• Production-scale pipelines serving multiple consumers with SLA.
• Familiarity with Alteryx Designer and workflow replacement.

Responsibilities

• Develop backend data pipelines and the self-service application layer.
• Build full-stack features with Python backend and HTML/JS frontend.
• Design and defend AWS data-architecture choices for workloads.
• Integrate REST APIs and Snowflake workflows into platforms.
• Replace 40+ Alteryx Gallery apps used by internal teams.

Skills

Python

Snowflake SQL

Data pipelines

REST APIs

Flask/FastAPI

AWS

Git

AI-assisted development

Airflow/Prefect

Self-service tools

Snowflake architecture

Microsoft Graph API

Tools

Claude

Cursor

Devin

Alteryx familiarity

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 else's 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 you're 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