Lead Data Engineer - Knowledge Graph & AI Platform

SwiftCruit; San Francisco (CA); On-site; USD 148,500 - 260,100; Full time

Benefits offered by this job

Medical, dental, and vision benefits

Paid parental leave

401(k) and employee stock purchasing program

Job summary

SwiftCruit in San Francisco is seeking both a Senior Member of Technical Staff (SMTS) and a Lead Member of Technical Staff (LMTS) to enhance its Enterprise Knowledge Graph platform. Ideal candidates will have significant experience in software engineering, particularly with graph databases and AI technologies.

The roles focus on building scalable systems and improving engineering productivity through advanced tools. Competitive salaries range from $148,500 to $260,100 annually, depending on experience.

Qualifications

• At least 8+ years of software engineering experience for SMTS and 10+ for LMTS.
• Expert-level coding skills in backend ecosystems, especially in Python.
• Solid experience working with graph databases and semantic web concepts.

Responsibilities

• Build and scale Salesforce’s Enterprise Knowledge Graph platform components.
• Develop graph data models and write complex graph queries.
• Mentor engineers on the team and provide technical guidance.

Skills

Software engineering experience

Distributed systems

Semantic routing using Python

Graph databases

Education

Related technical degree

Tools

Neo4j

Python

AWS

SPARQL

Job description

SwiftCruit in San Francisco is seeking both a Senior Member of Technical Staff (SMTS) and a Lead Member of Technical Staff (LMTS) to enhance its Enterprise Knowledge Graph platform. Ideal candidates will have significant experience in software engineering, particularly with graph databases and AI technologies.

The roles focus on building scalable systems and improving engineering productivity through advanced tools. Competitive salaries range from $148,500 to $260,100 annually, depending on experience.