FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Senior Full-Stack Developer
Octal Technical Solutions. Develop backend data pipelines and the self-service application layer .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Python development, particularly in building data pipelines and self-service applications. Proficient in Snowflake SQL and AWS services, with a strong ability to integrate REST APIs and manage production engineering across the development lifecycle.
Highest-signal resume keywords
Python DevelopmentSnowflake SQLREST API IntegrationAWS Data Pipeline ArchitectureProduction Codebase Ownership
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 SQLFlaskFastAPIGitWorkflow Orchestration
Tools & Technologies
AWS LambdaAWS Step FunctionsAWS GlueAWS ECS/FargateAWS EC2AWS S3ClaudeAlteryx DesignerAirflowPrefect
Industry Keywords
Data PipelinesSelf-Service ApplicationsProduction EngineeringAgentic Coding ToolsMicrosoft Graph API
Tech Stack
Tools & technologiesAirflowAWSEC2FlaskJavaScriptPandasPythonSQL
About the role
Key responsibilities & impact- Develop backend data pipelines and the self-service application layer
- 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
- Use Claude (Anthropic) as an active co-author for code generation, agentic task execution, architectural review, and documentation
- Own production engineering work across the full development lifecycle
Requirements
What you’ll need- 7+ years of Python development using pandas, requests, openpyxl, and regex
- Production codebase ownership end to end
- Solid Snowflake SQL, including joins, CTEs, window functions, INSERT, MERGE, and TRUNCATE/INSERT
- Ability to design data pipelines from scratch, select batch versus event-driven processing models, choose AWS services, and defend architecture decisions
- REST API experience with OAuth2, pagination, rate limiting, and JSON/XML parsing
- Full-stack capability with a Python backend using Flask or FastAPI and an 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, or GPT-4 as active co-authors
- Hands-on experience with agentic coding tools such as Claude Code, Cursor, or Devin
- Ability to reverse-engineer undocumented legacy workflows and reproduce outputs exactly
- Git proficiency with branching, pull requests, and versioned releases
- Production-scale pipeline experience serving multiple consumers with scheduled runs and SLA implications
- 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 is a strong plus
- Familiarity with Alteryx Designer is a strong plus
- Workflow orchestration experience with Airflow, Prefect, or AWS Step Functions is a strong plus