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Full-Stack Developer – Data Application
Octal Technical Solutions. Develop backend data pipelines and self-service application layers .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Python development and backend data pipeline architecture, with a strong focus on integrating REST APIs and building self-service applications. Proficient in leveraging AWS services and managing production codebases to deliver scalable solutions.
Highest-signal resume keywords
Python DevelopmentSnowflake SQLREST API IntegrationAWS Data Pipeline ArchitectureProduction Workflow Orchestration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonPandasRequestsOpenpyxlRegexSnowflake SQLFlaskFastAPIGitAirflow
Tools & Technologies
AWS LambdaAWS Step FunctionsAWS GlueAWS ECS/FargateAWS S3ClaudeCopilotGPT-4Microsoft Graph APIAlteryx Designer
Industry Keywords
Data PipelinesSelf-Service ApplicationsProduction CodebaseLegacy WorkflowsAgentic Coding Tools
Tech Stack
Tools & technologiesAirflowAWSEC2FlaskJavaScriptPandasPythonSQL
About the role
Key responsibilities & impact- 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
- Collaborate in an AI-assisted development model using Claude across code generation, agentic task execution, architectural review, and documentation
- Reverse-engineer legacy workflows and reproduce their outputs in a new technology stack
- Support applications used daily by five internal teams
Requirements
What you’ll need- 7+ years of Python development, including pandas, requests, openpyxl, and regex
- Experience owning a production codebase end to end
- Solid Snowflake SQL, including joins, CTEs, window functions, INSERT, MERGE, and TRUNCATE/INSERT
- Proven ability to design data pipelines from scratch, select batch versus event-driven processing models, choose appropriate AWS services, and defend architecture decisions adopted by a team
- REST API experience, including OAuth2, pagination, rate limiting, and JSON/XML parsing
- Full-stack capability with Python backend using Flask or FastAPI and HTML/JS frontend
- Hands-on AWS data pipeline architecture experience with 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 outputs exactly
- Git proficiency, including branching, pull requests, and versioned releases
- Production-scale pipeline experience serving multiple consumers on a defined schedule with SLA implications and production debugging experience
- Microsoft Graph API experience is a strong plus
- Snowflake architecture experience is a strong plus
- Experience building self-service data tools or internal operations tooling for non-technical users is a strong plus
- Familiarity with Alteryx Designer is a strong plus
- Production workflow orchestration experience with Airflow, Prefect, or AWS Step Functions is a strong plus