Senior Graph AI Engineer (Neo4j) - Remote LatAm

United States Digital Space LLC; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Wellness stipend

Remote work stipend

AI voucher

18 days PTO + local holidays

Job summary

United States Digital Space LLC is seeking a Graph ETL Engineer to build and maintain large-scale knowledge graphs. You’ll design graph ETL pipelines with Cypher, ingest data at scale using Kafka, and implement CDC patterns to reflect real-time changes. Strong Python skills and a focus on data integrity are required.

Remote work is 100% available for LatAm time zones. Expect 40 hours per week, USD payments, and a collaborative environment that emphasizes learning, experimentation, and inclusive

Qualifications

• 4+ years hands-on Neo4j experience with Cypher and schema design.
• Proven data pipelines experience for graph ingestion at scale.
• Strong Python skills for ingestion scripts and maintenance tasks.

Responsibilities

• Architect and implement graph ETL pipelines for large-scale ingestion.
• Maintain data quality with automated entity resolution and deduplication.
• Optimize graph performance with indexing and storage tuning.

Skills

Cypher

Python

Data Ingestion

CDC patterns

Data Modeling

Tools

Neo4j

Kafka

Python tooling

Job description

United States Digital Space LLC is seeking a Graph ETL Engineer to build and maintain large-scale knowledge graphs. You’ll design graph ETL pipelines with Cypher, ingest data at scale using Kafka, and implement CDC patterns to reflect real-time changes. Strong Python skills and a focus on data integrity are required.

Remote work is 100% available for LatAm time zones. Expect 40 hours per week, USD payments, and a collaborative environment that emphasizes learning, experimentation, and inclusive