Data Engineer II - QuantumBlack, AI McKinsey

Job Summary

As a Data Engineer II, you will design, build, and optimize modern data platforms that power advanced analytics and AI solutions.

You will collaborate with clients and interdisciplinary teams to architect scalable pipelines, manage secure and compliant data environments, and unlock the value of complex datasets across industries.

Your work will drive lasting impact by ensuring data is accurate, accessible, and production-ready, enabling clients to accelerate digital transformations, adopt AI responsibly, and achieve measurable business outcomes.

• Develop a streaming data platform to integrate telemetry for predictive maintenance in aerospace systems
• Implement secure data pipelines that reduce time-to-insight for a Fortune 500 utility company
• Optimize large-scale batch and streaming workflows for a global financial services client, cutting infrastructure costs while improving performance
• Develop pipelines for embeddings and vector databases to enable retrieval-augmented generation for a global defense client

You will work in cross-functional Agile teams with Data Scientists, Machine Learning Engineers, Designers, and domain experts to deliver high-quality analytics solutions. You will shape data ecosystems that drive innovation and long‑term resilience.

• Continuous learning: Structured programs and apprenticeship culture provide clear, actionable feedback and help you take ownership of your journey.
• A voice that matters: You will have the opportunity to contribute innovative ideas and practical solutions while upholding ethics and integrity.
• Global community: Experience working with colleagues across 65+ countries and over 100 nationalities.
• World‑class benefits: Competitive salary based on location, experience, and skills, plus a comprehensive benefits package to enable holistic well‑being.

• Degree in computer science, business analytics, engineering, mathematics, or related field
• 2+ years of professional experience in data engineering, software engineering, or adjacent technical roles
• Proficiency in Python, Scala, or Java for production‑grade pipelines, with strong skills in SQL and Py Spark
• Hands‑on experience with cloud platforms such as AWS, GCP, Azure, or Oracle and data warehouse solutions such as Snowflake, Big Query, Redshift, and Delta Lake
• Practical experience with Databricks, AWS Glue, and transformation frameworks such as dbt, Dataform, or Databricks Asset Bundles
• Knowledge of distributed systems such as Spark, Dask, or Flink and streaming platforms such as Kafka, Kinesis, or Pulsar
• Familiarity with workflow orchestration tools such as Airflow, Dagster, or Prefect, CI/CD for data workflows, and infrastructure‑as‑code tools like Terraform or Cloud Formation
• Understanding of Data Ops principles including pipeline monitoring, testing, and automation, plus exposure to observability tools such as Datadog, Prometheus, or Great Expectations
• Exposure to ML platforms such as Databricks, Sage Maker, or Vertex AI, MLOps best practices, and GenAI toolkits such as Lang Chain, Llama Index, or Hugging Face
• Familiarity with vector databases and low‑latency serving patterns is a plus
• Willingness to travel as required
• Strong communication, time management, and resilience, with the ability to align technical solutions to business value

In accordance with Ontario law, this job posting is for an existing vacancy.

FOR U.S. APPLICANTS:
McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain U.S. and Canadian jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. A reasonable estimated range is $146,600 - $150,000 in USD and $132,300 - $140,000 in CAD.

We provide a comprehensive benefits package that includes medical, mental health, dental, vision coverage, telemedicine services, life insurance, parental leave, and more.

FOR NON-U.S. APPLICANTS:
McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.