Senior Graph Data Engineer

Jobgether

18h • Remote

About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Graph Data Engineer in United States.
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.

Requirements

• 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
• Strong problem-solving, communication, and collaboration skills, with a proactive and quality-focused mindset

Nice To Haves

• Familiarity with machine learning frameworks, agentic AI systems, or regulated industry environments is a strong plus

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed