{"id":4251461,"url":"https://alion.io/job/lp-building-solutions-data-engineering-intern","title":"Data Engineering Intern","company":{"id":1786161,"name":"LP Building Solutions","domain":"lpcorp.com","url":"https://alion.io/company/lpcorp-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Nashville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-13T14:08:04Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T14:27:15Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Purpose\nThis position will support our Enterprise Data Engineering team as a Summer Intern from May 2027 - August 2027 and will be based in Nashville, TN. This is a paid, full-time internship.\nDuring this internship, you will gain hands-on exposure to how enterprise data is ingested, transformed, and prepared for analytics and reporting. You will work alongside experienced data engineers to learn how data pipelines and models are built and maintained, and how high-quality, reliable data helps support business decision-making across the organization.\nIn this position you will have the opportunity to:\nWork with the Enterprise Data Engineering team to support the development and maintenance of data pipelines that ingest, transform, and deliver data from a variety of enterprise systems and external sources\nLearn how modern data pipelines are built using tools such as Snowflake, dbt, and cloud services on AWS and Azure, and how data progresses through different layers to become analytics-ready\nAssist with building and validating dimensional data models (e.g., fact and dimension tables) to support reporting, dashboards, and analytics use cases\nParticipate in implementing basic data quality checks and validations to help ensure data accuracy, consistency, and completeness\nCollaborate with data engineers, analysts, and business partners to understand data requirements and how technical solutions support business needs\nLearn how data flows are documented, including transformations, metadata, and business rules, to support transparency and shared understanding across teams\nGain exposure to data governance, security, and compliance concepts and how they are applied in an enterprise data environment\nEngage with team members through code reviews, design discussions, and knowledge-sharing sessions to support learning and professional growth\nConnect and grow your skills in a dynamic, engaging environment\nWork alongside and be coached by members of your team\nEngage with leaders across the company\nWhat do I need to be successful?\nBasic understanding of SQL and introductory exposure to a programming language such as Python\nInterest in data engineering concepts, including data pipelines, ETL/ELT processes, and data modeling\nExposure to or coursework involving databases, data warehouses, or cloud platforms (e.g., AWS, Azure, or Snowflake) is a plus\nFamiliarity with Microsoft Word, PowerPoint, and Excel.\nAbility to work independently and collaboratively within a team environment.\nStrong organizational skills.\nInterpersonal and communication skills\nTime management skills.\nEducation\nCurrentlyenrolled ina Bachelor’s degreeprogram, preferably in Computer Science, Data Engineering, Information Systems, Software Engineering, Data Science, or a related field\nMust have an expected graduation date of August 2027or later\nMaintain a GPA of 3.0 or higher\nWork Environment\nThis position will work at home and in our Nashville office on a hybrid 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