Pilot Company is an industry-leading network of travel centers with more than 30,000 team members and over 750 retail and fueling locations in 44 states and six Canadian provinces. Our energy and logistics division serves as a top supplier of fuel, employing one of the largest tanker fleets and providing critical services to oil operations in our nation's busiest basins. Pilot Company supports a growing portfolio of brands with expertise in supply chain and retail operations, logistics and transportation, technology and digital innovation, construction, maintenance, human resources, finance, sales and marketing.
Founded in 1958 by Jim A. Haslam II and currently led by CEO Adam Wright, our founding values, people-first culture and commitment to giving back remains true to us today. Whether we are serving guests, a fellow team member, or a trucking company, we are dedicated to fueling people and keeping North America moving.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other characteristic protected under applicable federal, state or local law.
Military encouraged to apply.
Job DescriptionPilot Company’s professional internship designed to provide on-the-job training and experience to recent college graduates. Engages in various work assignments, projects, and activities of varying complexity, structured to enable the intern to gain the necessary knowledge, skills and abilities needed to perform at a professional level, typically identified with a targeted exempt position. Receives training and mentorship in planning and carrying out activities and assignments. This is a 10-week paid internship program .
Pilot’s Data Engineering Interns assist experienced data engineers in designing, building, and testing data pipelines that ingest data from 3rd party data sources and other enterprise systems. Using programming languages like Python, SQL, and Rust this position will gain experience in data integration, cloud technologies and efficiently processing large amounts of data.
· Analyzing existing data including values and data types
· Creating programs, typically data pipelines, that process and transform data
· Querying data with tools like SQL
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