{"id":4327950,"url":"https://alion.io/job/workday-data-engineer-intern","title":"Data Engineer Intern","company":{"id":15002,"name":"Workday","domain":"workday.com","url":"https://alion.io/company/workday","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":80,"ghost_share":0.05,"stale_share":0.538,"repost_share":0.075,"time_to_fill_p50_days":24,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Costa Rica"],"countries":["CR"],"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":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-13T00:00:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-15T02:20:32Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Your work days are brighter here.\nWe’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.\nAbout the Team\nAt Workday, we are a leading provider of Workday solutions, helping organizations optimize their human capital management and financial processes through innovative technology. We are seeking motivated and enthusiastic Interns to join our Workday Community Data Engineering team as Data Engineer Interns. This is an excellent opportunity to kickstart your career in a dynamic and rapidly growing field.About the Role\nWe are looking for a motivated Data Engineer Intern to support the development, maintenance, and optimization of data pipelines and data processing workflows. The role involves working with Python, SQL, ETL/ELT processes, databases, and cloud technologies to ensure efficient data integration and management. This internship offers hands-on experience with real-world data engineering projects while collaborating with experienced professionals to build scalable and reliable data solutions.\nJob Summary\nWe are looking for a motivated and enthusiasticData Engineer Intern to join our Data Engineering team. This opportunity is designed for recent graduates who are passionate about data engineering, cloud computing, database management, and building scalable data solutions.\nThe selected candidate will work alongside experienced data engineers to develop, maintain, and optimize data pipelines, process large datasets, and support data-driven business solutions.\nKey Responsibilities\nAssist in designing, developing, and maintaining ETL/ELT data pipelines.\nWrite and optimize SQL queries for data extraction, transformation, and analysis.\nDevelop Python scripts for data processing, automation, and integration.\nWork with structured and semi-structured datasets from multiple sources.\nSupport data cleaning, validation, transformation, and quality assurance.\nAssist in managing relational databases and data warehouses.\nGain hands-on experience with cloud platforms such as AWS.\nCollaborate with data engineers, analysts, and software developers on data-related projects.\nMonitor data pipelines and assist in troubleshooting performance issues.\nMaintain technical documentation for data workflows and processes.\nThe schedule for this position is: Monday - Friday, 9 AM - 6 PM.\nAbout You\nRequired Qualifications\nCurrently pursuing a Bachelor’s in Computer Science, Information Technology, Data Science, Engineering, or a related field with an anticipated graduation date of June/July 2027.\nStrong understanding of SQL and relational database concepts.\nBasic to intermediate programming knowledge in Python.\nPreferred familiarity with ETL processes and data warehousing concepts.\nBasic understanding of data modeling and data transformation.\nStrong analytical and problem-solving abilities.\nGood communication and teamwork skills.\nWillingness to learn new technologies and tools.\nPreferred Technical Skills(Or similar ones)\nProgramming: Python, SQL\nDatabases: Redshift, MySQL, PostgreSQL, SQL Server\nBig Data: PySpark\nCloud Platforms: AWS\nETL Tools: AWS Glue\nData Warehousing: Snowflake, Amazon Redshift\nVersion Control: Git, GitHub\nOther Tools: Databricks, REST APIs\nPrior professional experience with these technologies is not mandatory.\nEligibility Criteria\n0-1 years of professional experience.\nAcademic projects or internships involving Python, SQL, databases, or data analytics are advantageous.\nCandidates with a strong interest in pursuing a career in data engineering are encouraged to apply.\nIdeal Candidate\nWe are seeking an advanced student who has a strong technical foundation, enjoys solving data-related challenges, and is eager to gain hands-on experience in data engineering. The ideal candidate is curious, adaptable, detail-oriented, and capable of working collaboratively in a fast-paced engineering environment.\nPursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.\nWorkday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.\nAre you being referred to one of our roles? 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