This role involves designing, building, and optimizing modern data platforms to support advanced analytics and AI solutions. You will collaborate with clients and interdisciplinary teams to manage secure data environments and unlock the value of complex datasets, driving digital transformations and measurable business outcomes.

• Degree in Computer Science, Business Analytics, Engineering, Mathematics, or related field
• 7+ 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 PySpark
• Hands-on experience with cloud platforms such as AWS, GCP, Azure, Oracle
• 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)
• Familiarity with workflow orchestration tools such as Airflow, Dagster, Prefect
• Understanding of DataOps principles including pipeline monitoring, testing, and automation
• Exposure to ML platforms such as Databricks, SageMaker, Vertex AI
• Willingness to travel as required (60%+)
• Strong communication, time management, and resilience

• 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
• Develop pipelines for embeddings and vector databases to enable retrieval-augmented generation (RAG) for a global defense client
• Collaborate with cross-functional Agile teams to deliver high-quality analytics solutions
• Shape data ecosystems that drive innovation and long-term resilience

• Employees at McKinsey are often offered a comprehensive benefits package, including medical, dental, and vision coverage, prescription benefits, mental-health resources, expert medical opinions, and travel emergency protection. Financial benefits typically include retirement contributions and savings plans, life/accident/disability insurance, tax-advantaged accounts, and financial coaching. Many roles also feature generous paid time off (including volunteering days), flexible/hybrid work options, family care support (parental leave, fertility/adoption/surrogacy assistance, backup care), tuition reimbursement, transportation benefits, discounts, and matching gifts.