Full-Stack Data Engineer For Dashboards Development

Overview

We’re hiring a Full Stack data engineer (backend heavy) to join our team, to lead the development of sophisticated data visualization dashboards (e.g. Marketing Analytics Dashboards, Lead Generation Dashboards, BI Platforms). If you have strong backend/data engineering skills, 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, Node.js) 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.