Data Engineer
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Role details
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Job description
A hands-on engineering role responsible for building the data foundations that support client’s LLM, retrieval, and agentic AI solutions. This is the execution-focused version of the Senior Data Engineer role without workstream leadership responsibilities. For Role 2: Multiple positions Own the data engineering workstream supporting McKinsey’s GenAI and agentic AI client solutions across industries including government, defense, aerospace, utilities, and oil & gas o Design and build scalable data architectures and pipelines supporting Machine Learning, GenAI, and agentic AI solutions. o Deliver end-to-end RAG implementations, including: # Embeddings # Vector databases # Context construction # Output processing o Build MLOps and LLMOps platforms: # CI/CD for data and models # Model observability # Automated retraining # Agent evaluation frameworks o Implement data security and governance controls: # PII/PHI protection # Authentication # RBAC o Lead feature engineering initiatives. o Mentor junior engineers and provide technical guidance.
Requirements
o 6+ years of data engineering experience with workstream ownership. o Expert-level Python and SQL skills. o Experience with Java or Scala as needed by client environments. o Hands-on experience with Databricks or Snowflake (program requirement). o Strong expertise in: # Apache Spark # Airflow, Dagster, or Kedro # Lang Chain o Production GenAI or agentic AI experience: # RAG # Embeddings # Vector search o Terraform experience. o Hands-on experience with Multi-Cloud o Strong API development experience. Preferred Qualifications o LLMOps and agent evaluation tools: o LangSmith, Client-facing consulting experience. Experience working with senior business stakeholders.
About the company
Collabera is a leading Digital Solutions company providing software engineering solutions to the world’s most tech-forward organizations. With more than 25 years of experience, we have hired over 17000 employees across 60+ offices globally and currently place 10000+ professionals annually to support critical IT engagements at more than 500 client sites, 80% being the Fortune 500
Job Requirement o Data Engineering o Terraform o python o langchain o agentic ai o llm
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