Full-Stack Developer For Dashboards Development (Data Engineering Experience Preferred)
lls, full stack experience, and the ability to lead a team, we’d love to connect.
*Key Responsibilities:
- Collaborate with stakeholders to translate analytical needs into interactive dashboards and workflows
- Architect and build scalable, modular data visualization platforms
- Design and orchestrate backend data pipelines, APIs, and integrations with external data sources
- Define data modeling strategies for efficient querying and aggregation
- Lead a small engineering team, ensuring best practices and timely delivery
- Oversee the full lifecycle: data ingestion & modeling → architecture & UI/UX design → frontend implementation → backend implementation → integration & testing → deployment
*Requirements:
- Strong experience in architecting and delivering end-to-end analytics or BI dashboards
- 5+ years full stack experience
- Backend expertise (FastAPI / Python preferred ) with strong database and data modeling skills (SQL, Postgres, BigQuery, etc.)
- Experience with data integrations (APIs, webhooks, ETL pipelines) and performance optimization for analytics workloads
- Adequate frontend experience (React/Next.js, TailwindCSS) with charting libraries (Recharts, D3.js, ECharts, etc.)
- Experience with DevOps, deployment pipelines, and cloud environments (AWS/GCP/Railway)
- Strong leadership, communication, planning, and estimation skills
- Bonus: Experience with BI/data tooling (Metabase, Superset, Cube.js)
*To Apply:
- Share links or descriptions of dashboards/analytics platforms you’ve built or led
- Highlight backend-heavy projects where you architected data pipelines and workflows
- Include relevant GitHub, portfolio, or case studies
Required skills experience
| FastAPI | 5 years |
| Fullstack | 5 years |
| Lead | 5 years |
Required languages
| English | B1 - Intermediate |
UI/UX, Celery, SQLAlchemy, React, Node.js, AWS/Azure/GCP, Pytest
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