{"id":3908262,"url":"https://alion.io/job/querentia-gcp-data-engineer","title":"GCP Data Engineer","company":{"id":4460938,"name":"Querentia","domain":"querentia.com","url":"https://alion.io/company/querentia","size_band":"1-10","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"C","score":57,"open_postings":218,"ghost_share":0.716,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-09T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-11-08T00:21:07Z","board_verified":true,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":29},"description":"Role Name: GCP Data EngineerWork Location: Toronto, Canada (Remote)\nJob Summary\nWe are seeking an experienced GCP Data Engineer with hands-on expertise in Google Cloud Platform (GCP), particularly BigQuery, and familiarity with DBT for data transformation and modeling. The ideal candidate will have strong SQL skills, a solid understanding of data warehousing concepts, and basic to intermediate Python skills for scripting and automation. Experience working with large-scale operational and customer interaction datasets is preferred.\nKey Responsibilities\nDesign, build, and maintain scalable data pipelines using GCP services, primarily BigQuery.\nDevelop and manage DBT models to transform raw data into clean, tested, and documented datasets.\nWrite complex, optimized SQL queries for data extraction, transformation, and analysis.\nImplement and maintain data warehousing solutions, ensuring performance, scalability, and reliability.\nCollaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality data solutions.\nMonitor and troubleshoot data pipeline performance and data quality issues.\nAutomate data workflows and tasks using Python scripts where required.\nFollow data governance, security, and compliance best practices.\nRequired Qualifications\nBachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.\nAt least 5 years of experience in data engineering or a similar role.\nStrong SQL skills, including the ability to write complex and efficient queries.\nHands-on experience with BigQuery and other GCP data services.\nFamiliarity with DBT for data transformation and modeling.\nSolid understanding of data warehousing principles and best practices.\nBasic to intermediate Python skills for scripting and automation.\nFamiliarity with version control systems such as Git.\nStrong problem-solving, analytical, and communication skills.\nPreferred Qualifications\nExperience working with large-scale operational, customer interaction, or network-related datasets.\nExposure to data transformation, modeling, and workflow automation best practices.\nSkills\nGCP, Data 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