Data Engineer II - QuantumBlack, AI McKinsey

Data Engineer II – Quantum Black, AI by Mc Kinsey

Mar 09, 2026

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 ensure 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 (RAG) 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. Partnering closely with clients—from data owners to C‑level executives—you’ll shape data ecosystems that drive innovation and long‑term resilience.

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, helps you grow while creating an environment where feedback is clear, actionable, and focused on your development.
• A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us devise the best solutions for clients.
• World‑class benefits: In addition to a competitive salary, we provide a comprehensive benefits package to enable holistic well‑being for you and your family.

• 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, Oracle and modern data storage/warehouse solutions such as Snowflake, Big Query, Redshift, and Delta Lake
• Practical experience with Databricks, AWS Glue, and transformation frameworks like dbt, Dataform, or Databricks Asset Bundles
• Knowledge of distributed systems such as Spark, Dask, Flink and streaming platforms Kafka, Kinesis, Pulsar for real‑time and batch processing
• Familiarity with workflow orchestration tools such as Airflow, Dagster, Prefect; CI/CD for data workflows; and infrastructure‑as‑code (Terraform, Cloud Formation)
• Understanding of Data Ops principles including pipeline monitoring, testing, and automation, with exposure to observability tools such as Datadog, Prometheus, and Great Expectations
• Exposure to ML platforms such as Databricks, Sage Maker, Vertex AI, MLOps best practices, and GenAI toolkits (Lang Chain, Llama Index, Hugging Face)
• Familiarity with vector databases and understanding of 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 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.

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.