Data Engineer II: AI/ML Pipelines & Scalable Data

QuantumBlack, AI by McKinsey; Raleigh (NC); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Comprehensive benefits package

Career growth and mentorship

Job summary

QuantumBlack, AI by McKinsey in Raleigh, North Carolina, seeks a Data Engineer to build foundational data infrastructure for AI applications. You will design and maintain scalable data pipelines, manage secure environments, and collaborate with cross-functional teams to deliver innovative solutions.

The role requires a degree in Computer Science and 2+ years of professional experience, with strong skills in Python, SQL, and various data platforms.

Qualifications

• 2+ years of relevant professional experience building and deploying data solutions.
• Proven experience building end‑to‑end data pipelines and platforms for AI.
• Strong proficiency in Python and SQL.

Responsibilities

• Build foundational data infrastructure for AI applications.
• Design and maintain scalable data pipelines and manage secure environments.
• Collaborate with cross-functional teams to develop innovative AI solutions.

Skills

Python

SQL

Data Engineering

MLOps

Cloud Platforms (AWS, Azure, GCP)

Education

Degree in Computer Science/Engineering or equivalent

Tools

Databricks

Snowflake

Pandas

Spark

Terraform

Job description

QuantumBlack, AI by McKinsey in Raleigh, North Carolina, seeks a Data Engineer to build foundational data infrastructure for AI applications. You will design and maintain scalable data pipelines, manage secure environments, and collaborate with cross-functional teams to deliver innovative solutions.

The role requires a degree in Computer Science and 2+ years of professional experience, with strong skills in Python, SQL, and various data platforms.