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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python backend development, advanced SQL, and building ETL/data pipelines, while effectively collaborating with cross-functional teams and utilizing AI coding tools for enhanced productivity.
Highest-signal resume keywords
Python Backend DevelopmentAdvanced SQLGoogle Cloud Platform (GCP)ETL/Data Pipeline DevelopmentAI Coding Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLETLData ProcessingData ArchitectureSystem DesignDebuggingReactTypeScriptAsynchronous Processing
Soft Skills
Strong Communication SkillsCollaborationProblem-Solving
Tools & Technologies
BigQueryGCP InfrastructureGitPostHogClaudeCursorGitHub Copilot
Industry Keywords
Data PipelinesPerformance OptimizationBackground JobsHigh-Traffic ApplicationsGeographic DataTime-Series Data
Tech Stack
Tools & technologiesBigQueryCloudETLGoogle Cloud PlatformJavaScriptNext.jsPythonReactSQLTypeScript
About the role
Key responsibilities & impact- Build and maintain Python backend services and APIs
- Design and optimize ETL and large-scale data processing pipelines
- Work extensively with BigQuery and advanced SQL
- Manage scheduled jobs, queues, background processes, and asynchronous workflows
- Work with GCP infrastructure including Compute Engine, Cloud Storage, Pub/Sub, monitoring, and load balancing
- Optimize how data is precomputed, packaged, cached, compressed, and served
- Debug issues across data sources, pipelines, databases, APIs, infrastructure, and the frontend
- Contribute to React/Next.js/TypeScript features using AI coding tools
- Own selected features from architecture and data pipeline through API, frontend, deployment, analytics, and iteration
- Monitor performance, reliability, scalability, and product usage after launch
- Investigate bugs, deploy solutions, and troubleshoot production systems
- Identify blockers, risks, and reliability issues early and recommend solutions
- Collaborate with the CEO and development team through daily standups, brief daily 1:1s, and ongoing communication
Requirements
What you’ll need- Strong professional experience with Python backend development and production APIs
- Advanced SQL and hands-on BigQuery experience with large datasets
- Production experience with Google Cloud Platform (GCP)
- Strong experience building ETL/data pipelines
- Experience with asynchronous processing and background jobs
- Strong understanding of data architecture, system design, performance optimization, and debugging
- Enough React, JavaScript, or TypeScript experience to work productively within an existing frontend codebase
- Daily experience using AI coding tools such as Claude, Cursor, or GitHub Copilot
- Strong English communication skills for daily standups and 1:1s with the CEO
- Experience with Git and modern development workflows
- Experience with PostHog or other product analytics platforms
- Experience working with geographic or time-series data
- Experience with caching and data packaging for high-traffic applications
- Consistent availability during Central Time business hours
- Comfortable working 40 hours/week
- Long-term international independent contractor arrangement