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Data Engineer
Job Summary: The Wisconsin Longitudinal Study is looking to hire a Data Engineer I or II with a strong interest in metadata, preferably knowledgeable about DDI standards and frameworks, with Colectica experience a plus. WLS produces science-ready data for use by researchers world-wide. WLS is transitioning from in-house information systems to using Colectica tools to create and maintain a DDI-compliant data repository, to improve ease of use for researchers and long-term data curation and archiving. We're looking to hire a team player to help manage a very large dataset (over 27K variables). The desired candidate will have experience with MS_Windows and UNIX; HTML; XML; shell scripts and Python or a similar program
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