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Senior Backend/Data Engineer, Python, GCP, Vertex AI
OneTeamAnywhereSenior Backend/Data Engineer extending Python sentiment analysis pipeline for a remote Europe-based client. Collaborating with a small team to enhance existing features and integrations.
Tech Stack
Tools & technologiesBigQueryCloudGoogle Cloud PlatformJavaScriptNext.jsPostgresPythonSQLTypeScript
About the role
Key responsibilities & impact- Extend the Sentiment Pipeline: Work within the existing end-to-end flow
- Add & Maintain Platform Integrations: Extend existing Apify-based adapters
- Ship Cloud Run Jobs: Modify and add containerized Python jobs
- Evolve Data Contracts: Change BigQuery schemas and Supabase tables/RPCs
- Tune Models & Prompts: Iterate on Gemini structured outputs
- Benchmark & Evaluate: Use the existing benchmarking suite to compare model configs
- Write Tests: Add pytest coverage for your changes
Requirements
What you’ll need- Strong Python in production: type hints, Pydantic, pytest, clean module boundaries.
- GCP under load: Cloud Run, BigQuery, Cloud Storage.
- SQL that survives review: complex BigQuery or Postgres — window functions, partitioning, query optimization.
- LLM integration in production: you've shipped a feature backed by Vertex AI, OpenAI, or Anthropic.
- Cross-stack literacy: you can read a Next.js / TypeScript PR, understand what data it needs, and co-design the contract with our frontend engineer.
- Proactive operator: you drive your own work, flag blockers fast, and don't wait to be assigned.
Benefits
Comp & perks- Learning budget for conferences and courses
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPydanticpytestBigQuerySQLPostgresVertex AIOpenAIAnthropicNext.js
Soft Skills
proactiveproblem-solvingcollaborationcommunicationdrive workflag blockersindependenceco-design