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Senior Data Engineer (Python, Spark, Hadoop)

A major healthcare corporation is building out a new data analytics team to take on better data driven business decisions for consumers in their Chicago office.  Hiring for a Senior Data Engineer to hop on board of this team and actually have the career growth you have been looking for.  You will be building out a predictive modeling customer recommendation system using some of the most cutting edge technologies known to data scientists.  The ideal candidate will have more than 3 years of predictive modeling, data pipeline building, ETL layer/warehouse building, or machine learning experience that has been hands on using Python, R, Hadoop, Spark, and Hive. 

Required Skills

·         Minimum 3 years of machine learning/predictive analytics experience

·         Strong Python and R

·         SAS

·         Big Data with Hadoop, Hive, Impala

·         Familiar with Spark for the stream processing

·         Healthcare experience would be a major plus

·         Master’s Degree or above is preferred

·         Strong written and oral communication skills

 

Benefits                

This is a great opportunity to join and grow tremendously within a brand new analytics team within a major healthcare corporation.  In addition to a very competitive salary, this position offers a strong bonus structure, 401k, and full benefits.

Keyword Tags

Mid, Senior, Lead, Data, Engineer, Machine, Learning, Predictive, Analytics, Engineer, Developer, Python, R, Hadoop, Hive, Impala, Spark, Storm, Pig, Healthcare, SQL, Apache, Java, Career, Chicago, Job, Il, SAS

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  • Cory Steininger

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  • Workbridge Chicago - OSD
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