McKinsey & Company · 2 hours ago
Senior Knowledge Graph Data Engineer
Boston, MA
Full-time
Onsite
Senior Level
7+ years expMcKinsey & Company is a global management consulting firm that focuses on driving lasting impact and building long-term capabilities with clients. As a Senior Knowledge Graph Data Engineer, you will build graph-centric data pipelines and a semantic data layer that powers GenAI applications, while also designing entity/relationship models and operating AWS-based infrastructure.
ConsultingManagement ConsultingProfessional Services
Responsibilities
You’ll build a platform that will be deployed across regions, sectors and functions
Focusing on a distinctive combination of AI capabilities, domain expertise, and human judgement
Your work will be at the forefront of developing exciting technology for our firm
As a Senior Knowledge Graph Data Engineer, you will build graph-centric data pipelines and a semantic data layer that powers GenAI applications
You’ll design and evolve entity/relationship models, taxonomies, and identifiers; implement ingestion, normalization, and enrichment that maps heterogeneous sources to graph schemas; perform entity resolution and semantic tagging; validate structures; and publish data to graph stores
You’ll write production-grade Python code with comprehensive tests, create and modify GitHub Actions CI/CD pipelines, and operate AWS- and Docker-based infrastructure to deliver reliable, scalable knowledge graph data services
Qualification
Required
Degree in CS/Engineering or equivalent experience
7+ years of professional experience as a data engineer, with a strong focus on cloud-based data engineering using AWS services; Previous enterprise platform experience preferred
Expertise with Python development
Experience with knowledge graphs
Practicing high coding standards with clean code, modularity, error handling, testing automation and more
Strong experience with relational databases
Very driven, super strong on execution and output orientation, likes to get job done attitude and ability to figure things out independently. Able to work in a complex and very fast paced environment
Hands-on experience with Docker
Solid and demonstrable background in data pipeline performance and diagnostics
Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
Preferred
Previous enterprise platform experience preferred
Interest in Generative AI and other ML topics
Kedro framework experience as a plus
Benefits
World-class benefits
Comprehensive benefits package
Company
McKinsey & Company
McKinsey & Company is a global management consulting firm and trusted advisor by businesses, governments, and institutions.
10001+ employees
H1B Sponsorship
McKinsey & Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (612)
2024 (647)
2023 (613)
2022 (811)
2021 (740)
2020 (471)
Funding
Current Stage
Late StageLeadership Team
Guy Perry
Vice President
Abhyuadaya Shrivastava
Partner
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