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McKinsey & Company · 3 hours ago

Data Engineer II

Houston, TX

Full-time

Onsite

Mid, Senior Level

2+ years exp

McKinsey & Company is a global management consulting firm that drives lasting impact and builds long-term capabilities with clients. As a Data Engineer II, you will design and build core data frameworks that support client service organizations, enabling software capabilities for diverse teams and contributing to advanced analytics engagements.

ConsultingManagement ConsultingProfessional Services

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Apply engineering frameworks and best practices to design and build core data frameworks that support client service organizations

Enable software capabilities utilized by data engineers, data scientists, consulting teams, and external clients, driving innovation and efficiency across diverse teams

Design and build the technical backbone for advanced analytics engagements

Create robust, scalable, and reproducible data pipelines for machine learning

Curate and prepare data for advanced models

Manage secure data environments

Contribute to R&D projects and help develop innovative internal assets and frameworks

Help shift the model toward asset-based consulting and expand investment in the entrepreneurial culture

Qualification

Data pipeline developmentCloud platformsDistributed computing frameworksPythonSQLContainerizationCommunication skillsTime management

Required

Undergrad or Advanced degree in a quantitative field like computer science, machine learning, applied statistics or mathematics, or equivalent experience

2-5+ years of relevant experience

Proven experience building data pipelines in production for advanced analytics use cases

Experience working across structured, semi-structured and unstructured data

Familiarity with distributed computing frameworks, cloud platforms, containerization, and analytics libraries

Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment

Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels

Preferred

Exposure to software engineering concepts and best practices, including DevOps, DataOps and MLOps preferred

While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more