Backend / Data Platform Engineer

Role Overview

Monoedge is looking for a Backend / Data Platform Engineer to build and maintain reliable, high-performance data ingestion and processing systems. The role focuses on production-grade data pipelines, PostgreSQL, backend services, and automated testing and CI/CD. The ideal candidate should treat data pipelines as production systems that need to remain reliable under real-world load, with strong observability, testing, and failure recovery.

Responsibilities

• Build and strengthen high-throughput data ingestion for large files, multiple formats, and external database sources.
• Design reliable asynchronous processing systems with retries, recovery, and restart-safe execution.
• Integrate enterprise databases, ERP/accounting systems, and cloud spreadsheets.
• Handle schema-on-read for heterogeneous data sources.
• Manage PostgreSQL database architecture, including schema design, migrations, indexing, and query performance.
• Ensure proper multi-tenant data isolation.
• Optimize processing pipelines for throughput and predictable memory usage.
• Build and maintain CI/CD pipelines with automated unit, integration, and end-to-end smoke tests.
• Establish strong engineering practices around testing, code review, and release quality.

Requirements

• Strong Python experience with real-world asynchronous programming.
• Experience with FastAPI or a comparable backend framework.
• Strong PostgreSQL knowledge.
• Experience with SQLAlchemy or a similar ORM and migration tools.
• Experience building reliable data pipelines with backpressure, retries, idempotency, and failure recovery.
• Hands-on experience with CI/CD and test automation.
• Ability to measure and optimize system behaviour under load.

Nice to Have

• DuckDB, Arrow, or Parquet
• Enterprise data connectors such as SAP/HANA, MSSQL, or MySQL
• PostgreSQL vector extensions such as pgvector
• End-to-end test automation using Playwright or equivalent

Skills

• Python
• FastAPI
• PostgreSQL
• SQLAlchemy
• Docker