Sheetz

Data Engineer Intern


PayCompetitive
LocationPittsburgh/Pennsylvania
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: 35556

      OVERVIEW

      Work with the centralized business insights team by collaborating with internal teams to utilize data and analytics engineering skills to answer real business problems at Sheetz.


      RESPONSIBILITIES (other duties may be assigned)

      1. Develop and deploy data pipelines using tools like Databricks and AWS
      2. Partner with analysts to develop and productionize data models that support business needs
      3. Assist with data cleaning and improving data quality


      QUALIFICATIONS

      (Equivalent combinations of education, licenses, certifications and/or experience may be considered)


      Education
      • Junior or Senior pursuing a Bachelors degree in data and analytics, data science, computer science, or a related field required


      Experience
      • No Experience Required
      • Previous Exposure to SQL/Python and relational and non relational databases preferred
      • Previous Exposure to data processing (ETL/ELT), CI/CD, Agile Development preferred


      ACCOMMODATIONS

      Sheetz is committed to the full inclusion of all qualified individuals. Sheetz is committed to considering all applicants regardless of disability who can perform all essential job duties with or without accommodations.


      (Equivalent combinations of education, licenses, certifications and/or experience may be considered)


      Education
      • Junior or Senior pursuing a Bachelors degree in data and analytics, data science, computer science, or a related field required


      Experience
      • No Experience Required
      • Previous Exposure to SQL/Python and relational and non relational databases preferred
      • Previous Exposure to data processing (ETL/ELT), CI/CD, Agile Development preferred


      1. Develop and deploy data pipelines using tools like Databricks and AWS
      2. Partner with analysts to develop and productionize data models that support business needs
      3. Assist with data cleaning and improving data quality

  • About the company