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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Graph Data Engineer in Brazil.
In this hands-on engineering role, you will design, build, and maintain advanced data and software platforms that power high-impact analytical solutions. You will work at the intersection of full-stack development, graph technologies, and distributed data systems, delivering robust and scalable components for complex, data-intensive environments. Collaborating closely with multidisciplinary teams, you will help shape modern architectures and contribute to platform evolution. This role offers exposure to cutting-edge technologies, including graph databases, cloud-native services, and AI-driven workflows. You will play a key role in building reliable, secure, and compliant solutions within regulated industries. Operating in a dynamic and innovative environment, you will have the opportunity to make a meaningful impact on mission-critical systems.
Accountabilities:
- Design, develop, test, and maintain full-stack and data platform components using Python, Java, C/C++, and/or C# in analytical and data-intensive environments
- Build and optimize graph-based and relational data models using technologies such as Neo4j, PostgreSQL, Snowflake, Hive, and MongoDB
- Develop and deploy containerized applications using Docker, with exposure to Kubernetes-based orchestration and cloud-native environments
- Integrate enterprise systems through secure APIs, implementing authentication, authorization, and reliability patterns
- Implement comprehensive automated testing strategies, including unit, integration, performance, and security testing across the software lifecycle
- Work with distributed data platforms such as Spark or Databricks to process and analyze large-scale datasets
- Contribute to CI/CD pipelines, platform automation, and infrastructure-as-code initiatives
- Collaborate cross-functionally to deliver validated, compliant, and high-quality software solutions
- At least 5 years of hands-on experience developing full-stack or data engineering solutions in complex, data-driven environments
- Strong proficiency in Python and at least one additional language such as Java, C/C++, or C#
- Experience working with graph, relational, and NoSQL databases, including Neo4j, PostgreSQL, Snowflake, Hive, or MongoDB
- Practical experience with Docker, containerized deployments, and exposure to Kubernetes
- Solid background in API integration, authentication mechanisms, and secure system design
- Demonstrated experience implementing automated testing frameworks and quality assurance practices
- Experience working with distributed data processing platforms such as Spark or Databricks
- Familiarity with machine learning frameworks, agentic AI systems, or regulated industry environments is a strong plus
- Strong problem-solving, communication, and collaboration skills, with a proactive and quality-focused mindset
- Competitive compensation package, available as permanent or contractor engagement
- Fully remote work model with flexible scheduling
- Exposure to innovative, high-impact projects in data, analytics, and digital transformation
- Opportunities for professional growth, continuous learning, and career advancement
- Collaborative and inclusive work culture with global teams
- Access to cutting-edge tools, platforms, and technologies
- Supportive environment that values autonomy, ownership, and innovation
Requirements:
Benefits:
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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