Big Data & Backend Engineer – Spatial ETL (m/f/d)

RE-Managers GmbH; United States; On-site; USD 95,000 - 134,000; Full time

Benefits offered by this job

Tuition support

Accommodation help

Visa support

Modern tech stack

Job summary

Remotely is seeking a Big Data & Backend Engineer for Spatial ETL in a hybrid/remote setup. The role targets engineers who manage heavy data loads and robust backend pipelines, using Python, PostgreSQL, and containerized workflows.

You will automate ETL, optimize complex data processes, and ensure system stability at scale, with opportunities for international collaboration and visa support where applicable.

Qualifications

• Degree in Computer Science, Software Engineering, or extensive backend experience.
• Strong Python skills with SQLAlchemy and Pandas.
• Deep PostgreSQL performance tuning.
• Mindset focused on clean code, stability, and scalability.
• Eligibility: local and international candidates (Chancenkarte supported). English required; German a plus.

Responsibilities

• Bulk Processing: automate download and processing of massive data dumps.
• ETL Engineering: build high-performance ETL pipelines for central PostgreSQL architecture.
• Database Governance: ensure idempotency, deduplication, and monitoring for multi-million row updates.
• Container Orchestration: deploy and maintain Docker environments for ingestion tasks.

Skills

Python

SQLAlchemy

Pandas

PostgreSQL tuning

Education

BS in Computer Science

Tools

Docker

PostGIS

Job description

Big Data & Backend Engineer -- Spatial ETL (m/f/d)

Location: Germany (Hybrid / Remote options available)

Contract Type: Full-Time Employment (Permanent)

Target Group: Backend Engineers, Data Engineers, Database Administrators, Opportunity Card Holders, and Master's Graduates

About Project IRIS

Project IRIS is a proprietary applied research initiative processing massive amounts of infrastructure and spatial data. We bridge the gap between fragmented public data and actionable infrastructure intelligence. When standard APIs reach their limits and entire national registries must be processed, you step in. In this role, you are the architect for heavy data loads and robust backend pipelines.

Your Focus & Responsibilities

• Bulk Processing: Automate the download and processing of massive data dumps (e.g., corporate registers, industrial emission databases like PRTR, energy grids).
• ETL Engineering: Program high-performance ETL pipelines that decompress, parse, and transfer complex archives into our central PostgreSQL architecture.
• Database Governance: Ensure idempotency, deduplication, and reliable monitoring during weekly multi-million row updates.
• Container Orchestration: Deploy and maintain isolated Docker environments for all ingestion tasks.

What We Are Looking For

• Technical Background: Degree in Computer Science, Software Engineering, or extensive practical backend industry experience.
• Core Technical Skills: Expertise in processing relational mass data, strong Python skills (SQLAlchemy, Pandas), and deep PostgreSQL performance tuning.
• Mindset: A clean-code engineering approach focused on system stability and scalability.
• Eligibility: Open to local applicants and international candidates (Chancenkarte / Opportunity Card supported).
• Languages: Professional working proficiency in English (required); German language skills are a plus.

What We Offer

• Full-Time Permanent Employment: Long-term career stability with clear growth trajectories.
• Dual Master / Trainee Track Available: Tailored tracks including academic coordination and complete tuition support.
• Accommodation & Onboarding Package: Structured assistance with local accommodation, official registration, and comprehensive onboarding.
• Visa & Administrative Backing: Dedicated employer support for Opportunity Card conversions and visa applications.
• Modern Tech Environment: Work in a high-efficiency environment centered on Python, PostGIS, and Docker.