Data Engineer II: AI & Agentic Systems for Enterprise

McKinsey; Raleigh (NC); Vor Ort; USD 147.000 - 150.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Comprehensive benefits package

Zusammenfassung

McKinsey & Company in North America is seeking a Data Engineer to build foundational data infrastructure powering AI applications and design scalable data pipelines. You will collaborate with Data Scientists, ML Engineers, and industry experts to deliver AI systems across critical industries from our North American offices.

You will work in cross‑functional Agile teams, grow as a technologist, and contribute to R&D initiatives that scale next‑generation AI capabilities while delivering tangible

Qualifikationen

• U.S. Citizenship is required for this role (you must be able to be staffed on Critical Industries work which includes Government, Defense, Aerospace, Utilities, etc.)
• Degree in Computer Science/Engineering, or equivalent experience
• 2+ years of relevant professional experience building and deploying data solutions
• Strong proficiency in Python and SQL for data engineering and experience writing robust, production‑grade code, including deploying code across environments
• Proven experience building end-to-end data pipelines and platforms for Agentic AI, Generative AI, Machine Learning, or Business Intelligence, covering data preparation, embeddings generation, vector search, and system integration using modern frameworks (Spark, dbt, LangChain)
• A strong foundation in system design, data storage, and reliability with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.) and data engineering tools (e.g., Pandas, Spark, dbt, etc.)
• Hands‑on experience with MLOps/LLMOps principles, including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform)
• Experience building systems with different data formats (structured vs unstructured) and data processing methods (streaming vs batch) and deploying across major cloud platforms (AWS, Azure, GCP)
• Exceptional time management in a complex and largely autonomous work environment
• Commercial client‑facing or senior stakeholder management experience is beneficial
• Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
• Strong communication skills, both verbal and written, in English and local office language(s)
• Willingness to travel as required

Aufgaben

• Build the foundational data infrastructure powering AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures.
• Design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients.
• Design and build scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems; translate hypotheses into engineered features.
• Collaborate across teams to assess data landscapes, apply data quality fundamentals, and contribute to R&D initiatives focused on next‑generation AI capabilities.
• Help develop robust data foundations for scalable, production‑ready AI systems and support clients across industries.

Kenntnisse

Citizenship requirement

Degree in Computer Science/Engineering

2+ years experience

Python and SQL

Agentic AI pipelines

System design & data storage

MLOps/LLMOps

Cloud platforms (AWS/Azure/GCP)

Data formats & streaming/batch

Time management

Client-facing / senior stakeholder

Coding agents experience

English communication

Willingness to travel

Ausbildung

Bachelor's degree in Computer Science/Engineering or equivalent

Tools

Spark

dbt

LangChain

Databricks

Snowflake

BigQuery

PostgreSQL/PSQL

Pandas

Terraform

LangSmith

Opik

Langfuse

Jobbeschreibung

McKinsey & Company in North America is seeking a Data Engineer to build foundational data infrastructure powering AI applications and design scalable data pipelines. You will collaborate with Data Scientists, ML Engineers, and industry experts to deliver AI systems across critical industries from our North American offices.

You will work in cross‑functional Agile teams, grow as a technologist, and contribute to R&D initiatives that scale next‑generation AI capabilities while delivering tangible