Senior Data Engineer - Knowledge Graph

McKinsey & Company

United States

United States

Apply Now

About

Are you ready to tackle complex challenges that require curiosity, ambition, and determination? If so, this role is perfect for you! Your Impact: In this position, you will be instrumental in building a cutting-edge platform utilized across various sectors and functions. By combining AI capabilities, domain expertise, and human judgment, you will play a key role in developing innovative technology for our firm. As a Senior Data Engineer focused on Knowledge Graphs, you will: Create graph-centric data pipelines and a semantic data layer to support Generative AI applications. Design and refine entity/relationship models, taxonomies, and identifiers. Implement data ingestion, normalization, and enrichment that aligns diverse sources to graph schemas. Perform entity resolution and semantic tagging, validate data structures, and publish information to graph stores. Write production-ready Python code with comprehensive testing. Develop and modify CI/CD pipelines using GitHub Actions. Manage AWS and Docker-based infrastructure to ensure robust and scalable knowledge graph data services. Your Growth: We know that making a lasting impact and building capabilities is challenging. We value individuals who thrive in a culture of high performance and reward. Your resilience and determination will drive your development, and we are committed to providing you with resources, mentorship, and opportunities that will accelerate your growth. Benefits include: Continuous Learning:
Engage in a structured learning environment that promotes feedback and personal growth. A Voice That Matters:
From day one, your innovative ideas and contributions will be valued, ensuring that diverse perspectives lead to optimal outcomes. Global Community:
Join colleagues from over 65 countries, enhancing creativity and solution-finding capabilities. World-Class Benefits:
Enjoy a competitive salary and comprehensive benefits that support your well-being and that of your family. Your Qualifications and Skills: Degree in Computer Science/Engineering or equivalent experience. 7+ years of experience as a data engineer, with a focus on cloud-based solutions using AWS services. Proficiency in Python development. Experience in knowledge graphs. Commitment to high coding standards with modular, clean code, and automated testing. Strong background in relational databases. Independence and resilience to work in a fast-paced, complex environment. Experience with Docker. Proven expertise in data pipeline performance and diagnostics. Interest in Generative AI and machine learning topics; experience with the Kedro framework is a plus. Excellent problem-solving abilities and a strong collaborative communication style. Join us to be part of a team driven by integrity, ethics, and a commitment to making a difference for our clients and communities. Location: This position is based in Boston, Massachusetts. McKinsey & Company is an Equal Opportunity employer. All qualified applicants will be considered without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, veteran status, age, or any other characteristic protected by applicable law.

United States

Languages

English

Notice for Users

This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.

Apply Now