
Data Engineer - QuantumBlack
Own the technical platform for advanced analytics engagements, spanning data science and data engineering work. Design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned. Create and manage data environments and ensure information security standards are maintained at all times. Own and be accountable for the delivery of technical work streams while also mentoring and guiding more junior colleagues. Understand clients data landscape and assess data quality. Map data fields to hypotheses and curate, wrangle and prepare data for use in advanced analytics models. Have the opportunity to contribute to R&D projects and internal asset development.
Proven experience building data pipelines in production for advanced analytics use cases
Commercial client-facing or senior stakeholder management experience
Ability to write clean, maintainable, scalable, and robust code in an object-oriented language
Experience working across structured, semi-structured, and unstructured data
Python
Java
Scala
NumPy
Pandas
Databricks
PySpark
Matplotlib
Effective Time Management
Process Improvement
Driven and self-motivated
Prioritizing skills
flexibility
Communication Skills
Detail oriented and highly organized
Multi tasker
According to JobzMall, the average salary range for a Data Engineer - QuantumBlack in Blue Cross Blue Shield Tower, 300 E Randolph St, Chicago, IL 60601, USA is $63,819 to $84,848.
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McKinsey & Company is an American worldwide management consulting firm. McKinsey publishes the McKinsey Quarterly since 1964, funds the McKinsey Global Institute research organization, publishes reports on management topics, and has authored influential books on management.

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