{"id":3231417,"url":"https://alion.io/job/metasys-data-engineer-internship","title":"Data Engineer Internship","company":{"id":3856814,"name":"Metasys","domain":"metasysglobal.com","url":"https://alion.io/company/metasys","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"remote","remote_scope":"worldwide","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"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":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-25T06:19:23Z","employer_posted_date":null,"last_verified_at":"2026-10-25T06:19:23Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Role OverviewWe are looking for a detail-oriented Data Engineer Intern to support the design, development, and maintenance of data pipelines and data infrastructure. This internship provides hands-on experience working with large datasets, data workflows, and modern data engineering tools in a real-world environment.\nThis role is ideal for students or recent graduates interested in data engineering, backend systems, and data platform development.\nInternship Details\nDuration: 3 months, with potential extension based on performance\n\nWork Mode: Remote\n\nStipend: Unpaid initially; performance-based evaluation in the first quarter may lead to a paid internship extension or full-time opportunity\n\nWorking Hours: 8 hours per day\n\nKey Responsibilities\nAssist in building and maintaining data pipelines and ETL/ELT workflows\n\nSupport data ingestion from multiple sources (APIs, databases, files)\n\nHelp design and optimize data models and schemas\n\nPerform data cleaning, validation, and quality checks\n\nWork with structured and semi-structured data\n\nSupport data warehousing and analytics use cases\n\nDocument data processes, pipelines, and workflows\n\nCollaborate with data scientists, analysts, and engineers\n\nRequired Skills & Qualifications\nCurrently pursuing or recently completed a degree in Computer Science, Data Engineering, Information Systems, or related field\n\nProficiency in Python or SQL\n\nBasic understanding of databases\n\nKnowledge of data structures and algorithms\n\nStrong analytical and problem-solving skills\n\nPreferred / Technical Skills\nFamiliarity with ETL tools or frameworks \n\nExposure to cloud platforms (AWS, GCP, or Azure)\n\nUnderstanding of data warehouses \n\nKnowledge of version control (Git)\n\nBasic understanding of data security and governance\n\nWhat You Will Gain\nHands-on experience building real-world data pipelines\n\nExposure to modern data engineering tools and cloud platforms\n\nExperience working with cross-functional data teams\n\nMentorship from experienced data engineers\n\nCertificate of Internship Completion upon successful completion\n\nOpportunity for paid or 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