Senior Full-Stack Developer

• Develop backend data pipelines and self-service application layers
• Build Python pipelines and Snowflake workflows
• Integrate REST APIs
• Develop web-based self-service applications replacing 40+ Alteryx Gallery applications used by five internal teams
• Work across backend and frontend components using Python and HTML/JavaScript
• Use Claude (Anthropic) as an active co-author throughout code generation, agentic task execution, architectural review, and documentation
• Design data pipeline architectures from scratch and select appropriate processing models and AWS services
• Reverse-engineer undocumented legacy workflows and reproduce their outputs exactly
• Own and debug production-scale pipelines with scheduled execution and SLA implications
• Collaborate within a lean team operating against a hard deadline

Requirements

• 7+ years of Python development using pandas, requests, openpyxl, and regex as daily tools; ability to own a production codebase end to end
• Solid Snowflake SQL, including joins, CTEs, window functions, and write operations (INSERT, MERGE, TRUNCATE/INSERT)
• Proven ability to design a data pipeline from scratch, choose batch versus event-driven processing, select appropriate AWS services, and defend architecture decisions adopted by a team
• REST API experience with OAuth2, pagination, rate limiting, and JSON/XML parsing
• Full-stack capability with a Python backend (Flask or FastAPI) and HTML/JS frontend; ability to build and ship a working web application end to end
• Hands-on AWS data pipeline architecture experience selecting and configuring Lambda, Step Functions or Glue, ECS/Fargate or EC2, S3, Secrets Manager, and EventBridge
• Demonstrated production experience using LLMs such as Claude, Copilot, GPT-4, or equivalent as active co-authors
• Hands-on experience with agentic coding tools such as Claude Code, Cursor, Devin, or similar
• Ability to reverse-engineer undocumented legacy workflows and reproduce their output exactly in a new stack
• Git proficiency, including branching, PRs, and versioned releases
• Production-scale pipeline experience serving multiple consumers on a defined schedule with SLA implications and production debugging experience
• Strong plus: Microsoft Graph API experience with SharePoint file writes, list operations, and email dispatch
• Strong plus: Snowflake architecture experience, including table structures, roles and grants, compute sizing, cloning, or time travel
• Strong plus: experience building self-service data tools or internal operations tooling for non-technical users
• Strong plus: familiarity with Alteryx Designer
• Strong plus: workflow orchestration experience with Airflow, Prefect, or AWS Step Functions, including production DAGs with dependencies, retry logic, and failure alerting

Core Competencies

Demonstrates extensive experience in developing and managing backend data pipelines and self-service applications using Python and Snowflake. Proficient in integrating REST APIs and designing data architectures with AWS services while ensuring production-level quality and performance.

Highest-signal resume keywords

• Python Development
• Snowflake SQL
• Data Pipeline Architecture
• REST API Integration
• AWS Services Proficiency

Hard Skills

• Python
• Snowflake SQL
• REST API
• Data Pipeline Design
• AWS Lambda
• AWS Step Functions
• Flask
• FastAPI
• Git
• Alteryx

Soft Skills

• Collaboration
• Problem-Solving
• Debugging

Industry Keywords

• Data Pipelines
• Self-Service Applications
• Production Debugging
• Workflow Orchestration
• Legacy Workflow Reverse Engineering

Tools & Technologies

• Claude
• Airflow
• Prefect
• AWS Glue
• AWS ECS
• AWS EC2
• AWS S3
• AWS Secrets Manager
• AWS EventBridge
• Microsoft Graph API