{"id":297955,"url":"https://alion.io/job/workato-intern-data-engineering","title":"Intern, Data Engineering","company":{"id":58898,"name":"Workato","domain":"workato.com","url":"https://alion.io/company/workato","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":76,"open_postings":19,"ghost_share":0.053,"stale_share":0.526,"repost_share":0.158,"time_to_fill_p50_days":68,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":["SG"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-02T06:47:49Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-14T23:18:00Z","board_verified":true,"closed_at":null,"days_open":73,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":72},"description":"About Workato\nWorkato is the leading Control and Execution Platform for Enterprise AI - the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 - including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors - Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com.\nWhy join us?\nUltimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking forteam players who want to actively build our company. \nBut, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. \nIf this sounds right up your alley, please submit an application. We look forward to getting to know you!\nAlso, feel free to check out why:\nBusiness Insider named us an “enterprise startup to bet your career on”\nForbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world\nDeloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America\nQuartz ranked us the #1 best company for remote workers\nResponsibilities\nWe are looking for an exceptionalData Engineer Intern to join our growing team. In this role, you will design and implement data pipelines that load data from multiple sources into our data warehouse, building efficient data models that drive analysis and key business metrics. You'll optimize analytical workflows using dbt Cloud, leveraging macros and packages to enhance productivity, while contributing to our CI/CD processes and DevOps practices. You'll also have the opportunity to participate in AI initiatives by contributing to the development of Data Genie in Workato. \nIn this role, you will also be responsible to:\nImplement and maintain data pipelines to load data from multiple sources into a data warehouse.\n\nBuilding efficient data models to drive analysis and key metrics.\n\nOptimization of analytical workflows to improve productivity through the use of macros and packages in dbt Cloud.\n\nContinuously improve existing DevOps experience by strengthening our CI/CD processes\n\nContribute to AI initiatives by assisting with the development of Data Genie in Workato.\n\nCollaborate with internal business stakeholders to understand various data pain points and develop solutions to resolve those issues.\n\nSupport operational needs of various business units.\n\nRequirements\nQualifications / Experience / Technical Skills\nCurrently pursuing a degree in Business Analytics, Information Systems, or other related field.\n\nAble to commit for at least 6 months.\n\nGood understanding of Database concepts such as ERD.\n\nIntermediate SQL skills (e.g. Join, CTE, and window functions etc).\n\nExperience in using data warehouses such as Snowflake and data transformation tools such as dbt Cloud.\n\nExperience with using Extract-Load-Transform (ELT) applications or scripts..\n\nExperience in building and working with AI related solutions using LLMs is a plus.\n\nUnderstanding of CI/CD and DevOps is a plus.\n\nSoft Skills / Personal Characteristics\nFast mover and comfortable navigating a fast-paced environment.\n\nExcellent organizational skills and ability to juggle multiple projects simultaneously.\n\nStrong analytical skills, verbal and written communication skills are required to present actionable insights to business leaders.\n\nThoughtful team player, a keen learner, and have a “can do” attitude with a growth mindset.\n\n(REQ ID: 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