Backend/Integration Engineer

Jobgether; Mexico; On-site; PHP 3,285,000 - 4,380,000; Full time

Benefits offered by this job

Six-month contract engagement

Graph-data engineering initiative

Hands-on Neo4j and data integration

Job summary

Jobgether seeks a Backend/Integration Engineer in Mexico to design and implement a graph data layer with Neo4j, enabling scalable data access across complex datasets.

You will lead data modeling, ingestion, database configuration, and performance tuning using Neo4j, while integrating API-driven and event-driven data sources.

Qualifications

• 5+ years of experience in data engineering or related field.
• Strong experience with graph databases, especially Neo4j.
• Proficient in Cypher queries and data modeling.
• Experience integrating structured and unstructured data sources.
• Experience building data ingestion pipelines and API integrations.

Responsibilities

• Design and implement graph data models and indexing in Neo4j.
• Configure production Neo4j environments including TLS and clustering.
• Integrate multiple data sources into the graph platform.
• Develop data ingestion workflows and ETL/ELT processes.
• Build integrations using APIs and event-driven patterns.
• Write and optimize Cypher queries for performance.
• Collaborate with stakeholders to translate requirements into graph solutions.
• Apply robust database engineering and coding practices from development to deployment.
• Contribute to maintainable, scalable graph data layer.

Skills

Data engineering

Graph data modeling

Independent work

Problem solving

Production-grade software practices

Tools

Neo4j

Cypher

APIs

Event-driven ingestion

ETL/ELT pipelines

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Backend/Integration Engineer based in Mexico.

As a Backend/Integration Engineer, you will design and implement a graph data layer that enables reliable, scalable access to complex datasets.
You will take ownership of data modeling, ingestion, database configuration, and performance optimization using Neo4j.
The role combines hands-on database engineering with backend integration across structured and unstructured data sources.
You will build robust data pipelines and connect multiple systems through APIs and event-driven ingestion patterns.
Your work will directly influence the scalability, reliability, and performance of the organization's graph-based data platform.
This is a hands-on engineering opportunity suited to an experienced data professional who enjoys solving complex technical challenges.
The initial engagement is for six months, with the possibility of extension.

Accountabilities

• Design and implement graph data models using Neo4j, including nodes, relationships, properties, and indexing strategies.
• Configure and maintain Neo4j environments for production, including TLS, clustering, persistence, sizing, and scalability considerations.
• Integrate multiple structured and unstructured data sources into the graph data platform.
• Develop and manage data ingestion workflows and pipelines using appropriate ETL/ELT approaches.
• Build integrations using APIs and, where applicable, event-driven ingestion architectures.
• Write, optimize, and maintain Cypher queries to support efficient data access and application requirements.
• Analyze and resolve database and query-performance issues, improving scalability and overall system responsiveness.
• Collaborate with technical stakeholders to understand data requirements and translate them into reliable graph-based solutions.
• Apply sound database engineering and programming practices throughout development, integration, testing, and production deployment.
• Contribute to the continuous improvement of the graph data layer, ensuring it remains maintainable, performant, and fit for evolving business needs.

Requirements

• 5+ years of experience in Data Engineering, with candidates bringing broader technical expertise and more than six years of experience also considered.
• Strong professional experience with Neo4j, including database creation, configuration, development, and production environments.
• Expert knowledge of graph data modeling, including nodes, relationships, properties, and indexing strategies.
• Hands-on experience with the Cypher query language and the ability to develop and optimize complex queries.
• Experience working with both structured and unstructured data sources.
• Solid understanding of data pipelines and ETL/ELT processes.
• Familiarity with APIs and/or event-driven data ingestion patterns.
• Strong programming and database engineering skills, with the ability to build practical, production-ready solutions.
• Understanding of database performance optimization, scalability, persistence, and production configuration.
• Strong analytical and problem-solving skills, with a structured approach to diagnosing technical issues.
• Ability to work independently, take ownership of technical deliverables, and collaborate effectively with engineering and data teams.
• Comfortable working in a dynamic environment that values continuous-learning, innovation, and practical problem-solving.

Benefits

• Six-month contract engagement, with the possibility of extension.
• Opportunity to work on a technically challenging graph-data engineering initiative.
• Hands-on experience with Neo4j, graph data modeling, data integration, and performance optimization.
• Exposure to structured and unstructured data integration, ETL/ELT pipelines, APIs, and event-driven architectures.
• Opportunity to contribute to the design of a production-grade, scalable data platform.
• Collaborative environment focused on innovation, continuous learning, and knowledge sharing.
• Opportunity to work with a globally oriented technology organization and contribute to impactful digital solutions.