

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 9, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Auburn Hills, MI
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π§ - Skills detailed
#SQL (Structured Query Language) #Business Objects #Unix #Data Architecture #Computer Science #Data Modeling #QlikView #Hadoop #BO (Business Objects) #"ETL (Extract #Transform #Load)" #Sqoop (Apache Sqoop) #Data Mining #Data Engineering #NLP (Natural Language Processing) #Linux #ML (Machine Learning) #DataStage
Role description
Job Title: Advanced Data Analytics Engineer
Location:Chelsea, MI
The Advanced Analytics Data Engineer develops, maintains, tests and evaluates data solutions.
Responsibilities include but not limited to:
β’ Build what the Advanced Analytics Data Architect has designed.
β’ Work on implementing complex data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms.
Requirements:
β’ Requires a Bachelor's degree in Computer Science, Information Technology, or related field.
β’ 3+ years of related experience required.
β’ MapReduce experience is a plus.
β’ SQL expertise and data modeling experience.
β’ Strong experience with Unix/Linux.
β’ ETL and data movement tools experience including: DataStage, Sqoop, and Pivotal Data Loader.
β’ Deep knowledge in data mining, machine learning, natural language processing, or information retrieval.
β’ Experience processing large amounts of structured and unstructured data.
β’ Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions.
β’ Ability to tune Hadoop solutions to improve performance and end-user experience.
β’ Understanding of how algorithms work and have experience building high-performance algorithms.
Key Must Haveβs:
β’ Experience handling / processing large data sets both structured and unstructured
β’ Deep knowledge in data mining, information retrieval, and a natural curiosity about the data
β’ Expertise in data modeling specifically with less standardized / structured data
Job Title: Advanced Data Analytics Engineer
Location:Chelsea, MI
The Advanced Analytics Data Engineer develops, maintains, tests and evaluates data solutions.
Responsibilities include but not limited to:
β’ Build what the Advanced Analytics Data Architect has designed.
β’ Work on implementing complex data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms.
Requirements:
β’ Requires a Bachelor's degree in Computer Science, Information Technology, or related field.
β’ 3+ years of related experience required.
β’ MapReduce experience is a plus.
β’ SQL expertise and data modeling experience.
β’ Strong experience with Unix/Linux.
β’ ETL and data movement tools experience including: DataStage, Sqoop, and Pivotal Data Loader.
β’ Deep knowledge in data mining, machine learning, natural language processing, or information retrieval.
β’ Experience processing large amounts of structured and unstructured data.
β’ Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions.
β’ Ability to tune Hadoop solutions to improve performance and end-user experience.
β’ Understanding of how algorithms work and have experience building high-performance algorithms.
Key Must Haveβs:
β’ Experience handling / processing large data sets both structured and unstructured
β’ Deep knowledge in data mining, information retrieval, and a natural curiosity about the data
β’ Expertise in data modeling specifically with less standardized / structured data