Knowledge Graph Data Engineer

McKinsey & Company

NEW YORK, NYJobSeen todaySeen in employer's feed today

NEW YORK, NYJobNo compensation foundSeen todaySeen in employer's feed today

Evaluate my fit

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this. New roles like this one near NEW YORK, NY, by email.

Don't just apply. Show up ready.

Olive works from this exact posting.

Evaluate your fitSee where you stand — strengths, gaps, and what to fix first.
Tailor your résuméRewritten against this posting, every reworded bullet shown before and after.
Practice the interviewA voice mock interview built from this job description.

Evaluate your fitSee where you stand — strengths, gaps, and what to fix first.Get started →Tailor your résuméRewritten against this posting, every reworded bullet shown before and after.Get started →Practice the interviewA voice mock interview built from this job description.Get started →

At a glance

Compensation

No compensation found

Location

NEW YORK, NY

Work Authorization

Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Knowledge Graph Data Engineer will bring data engineering experience, particularly in cloud-based engineering with AWS, Python development, relational databases, and knowledge graphs. The role seeks someone who can build and diagnose data pipelines, apply high coding standards, and work independently in a fast-paced environment. Interest in Generative AI and machine learning is desired; Kedro framework experience is a plus.

Skills & qualifications

RequiredNice to have

Skills

Cloud Data EngineeringAWSPythonRelational DatabasesKnowledge GraphsCoding StandardsClean CodeModularityError HandlingTest AutomationDockerData Pipeline PerformanceData DiagnosticsGenerative AIMachine LearningKedroProblem SolvingCommunicationCollaboration

Qualifications

CS/Engineering Degree or Equivalent Experience3+ Years Relevant Experience

Full job description

Atlanta * Boston * Chicago * New York CityApply NowApply Later YOUR QUALIFICATIONS AND SKILLS * Degree in CS/Engineering or equivalent experience * 3+ years of relevant experience which may include a combination of professional work experience and relevant education * Data engineering experience, with a strong focus on cloud-based data engineering using AWS services; Previous enterprise platform experience preferred * Expertise with Python development with strong experience with relational databases * Experience with knowledge graphs * Practicing high coding standards with clean code, modularity, error handling, testing automation and more * 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 * Interest in Generative AI and other ML topics. Kedro framework experience as a plus * 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 Apply NowApply Later Share This JobEqual Opportunity Employment Disclaimer McKinsey & Company is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other protected characteristics.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.

Evaluate my fit