{"id":3278715,"url":"https://alion.io/job/daikin-comfort-data-engineer-1","title":"Data Engineer 1","company":{"id":1808051,"name":"Daikin Comfort","domain":"daikincomfort.com","url":"https://alion.io/company/daikincomfort","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"UltiPro","truth_index":{"grade":"B","score":75,"open_postings":22,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Waller, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":78000,"max_usd":167000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":376},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-18T21:09:44Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-30T05:26:55Z","board_verified":true,"closed_at":null,"days_open":41,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":41},"description":"The Data Engineer is responsible to put in place the framework for a Modern, Simple, Accurate and Secure Data Environment that connects data across the company and sets data up as an asset to the company. Data Engineers will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Data engineers implement methods to improve data reliability and quality.\nMay include:\nIdentify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. \nBuild the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies \nWork with stakeholders including the Executive, Manufacturing, Sales and Marketing teams to assist with data-related technical issues and support their data infrastructure needs \nWork with data and analytics experts to strive for greater functionality in our data systems \nDevelop ways to improve data quality, reliability, and efficiency \nPerform additional projects/duties to support ongoing business needs. \nNature & Scope:\nPossesses a broad theoretical job knowledge typically obtained through advanced education \nHas no discretion to deviate from established procedures by performing structured work assignments \nWork is closely supervised \nProblems faced are not typically difficult nor complex \nExplains facts, policies and practices related to job area \nKnowledge & Skills:\nKnowledge of programming languages and applications & database apps and tools \nDemonstrated analytical, quantitative & creative problem solving skills \nEffective written & verbal communication skills \nEffective organizational & time management skills including prioritization \nSolid collaboration abilities; professional & diplomatic team builder \nAbility to work independently on multiple tasks and projects, with various teams including Engineering, Sales, IT, Finance, Marketing, Manufacturing, Logistics, etc. \nAbility to apply good judgment, strong work ethic, and integrity on the job. \nCompetencies:\nExperience:\nEntry level \nEducation/Certification:\nBachelor’s degree in Engineering, Data Science, Computer Science or may consider equivalent & relevant work experience with formal training and certifications\nMaster's degree preferred\nPeople Management: No\nPhysical Requirements / Work Environment:\nMust be able to perform essential responsibilities with or without reasonable accommodations \nReports To:\nManager, Strategic Analytics & Insights \nThe Company provides equal employment opportunity to all employees and applicants regardless of a person’s race, color, religion (including religious dress or grooming practices), creed, national origin (including language use restrictions), citizenship, uniform service member or veteran status, ancestry, disability, physical or mental disability (including HIV/AIDS), medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender identity or expression, political affiliation, or any other characteristic protected by law. 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