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Data Science Engineer III
Sidney NE - Corporate

Cabela’s the World’s Foremost Outfitter of Outdoor Gear has an opening for a Data Science Engineer III in the Analytic Data Sciences department.  If you were “Born to Work Here” then apply today to join our team.  This position is located at our corporate office in Sidney, NE.

Description of Position: Participates as an manager of self in a team that innovates, designs, constructs, and uses complex data solutions to support analytical and marketing data needs.
General Purpose of the Position: This position functions as a manager of self dedicated to collecting and engineering complex data solutions to drive insights and support Omni marketing and analytics needs.  Position must perform activities that support the four key pillars of Data Science in partnership with Information Technology (IT):
Data Management - Develops innovative ways to collect, manage, analyze, and deploy required data
Data Engineering -- Understands and utilizes various forms of data storage strategies such as Operational Data, Analytical Data, Normalized forms of data, Unstructured or multi-structured data (Big Data).
Data Analytics -- Pioneers the extraction of value from data and then deploys that value in a way the supports data-driven business decisions.
Communication -- Deploys insights garnered from the data in the optimal format that will meet the needs of the target audience including agile BI reporting, staged tables, spreadsheets, email, etc.


  • Designs and implements innovative, pioneering data-driven insights to solve complex business problems.
  • Works within Data Labs to proto-type solutions during Research and Development phases.
  • Participate in the process turn-over from development to production, e.g., submitting requests to our IT colleagues and/or productionalizing through the Data Sciences Data Management team.
  • Function as a subject matter expert on elements of Data Science Engineering mentoring others where needed.
  • Remain current on technology trends regarding data..


  • Bachelor's degree with 2-4+ years of experience
  • Data Engineering principles
  • SAS
  • SQL Map/Reduce (Big Data)
  • Working knowledge of database technology (Teradata and Oracle)
  • Computer Skills: Microsoft Excel, Microsoft Word, Microsoft PowerPoint, SAS, Teradata, Oracle, SQL, PL/SQL, SQL MR, Hadoop, VB

Cabela’s is an Equal Opportunity Employer (EOE) and we seek to create an inclusive work place that embraces diverse backgrounds, life experiences and perspectives.

Cabela's offers a competitive benefits package to include: 401k, vacation, profit sharing, health and dental coverage for you and your family, relocation assistance, and employee discounts.