TL;DR
Senior Graph Database Data Engineer (AI): Designing, deploying, and scaling a robust graph data platform that supports analytics and AI-enabled product features with an accent on resilient graph infrastructure, data pipeline optimization, and advanced traversal strategies. Focus on aligning the platform with knowledge-graph strategy, security, and production readiness within a fast-moving startup environment.
Location: Hybrid in Delta Junction, Alaska, United States, with flexible remote arrangements
Company
Our client is a growth-focused, health-enabled technology company blending clinical insight with data-driven product development.
What you will do
- Design and optimize graph database architectures for production readiness.
- Construct scalable data pipelines tailored to graph workloads.
- Develop and tune Gremlin-based queries and traversal patterns for enterprise use.
- Collaborate with cross-functional teams to integrate graph technology into live systems.
- Monitor and enhance performance, reliability, and security of graph platforms.
- Lead data modeling and governance efforts within graph-centric ecosystems.
Requirements
- Bachelor’s degree in CS, Engineering, Information Systems, or related field.
- 7+ years of hands-on graph database experience in Data Engineering or related roles.
- Proven track record building and operating production graph databases.
- Strong SQL and data modeling skills.
- Familiarity with distributed systems.
- Excellent communication and proactive problem-solving abilities.
Culture & Benefits
- Competitive base salary plus equity aligned to Series A milestones.
- Comprehensive health, dental, and vision coverage.
- Flexible work options.
- Paid time off and wellness initiatives.
- Dedicated learning and development stipend.