{"id":3908346,"url":"https://alion.io/job/querentia-senior-data-engineer-azure-databricks","title":"Senior Data Engineer – Azure & Databricks","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":"2026-11-08T05:47:12Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-05-29T00:00:00Z","employer_posted_date":"2026-05-29","last_verified_at":"2026-11-08T00:21:07Z","board_verified":true,"closed_at":null,"days_open":164,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":163},"description":"Senior Data Engineer - Azure & DatabricksJob Summary\nWe are seeking a highly skilled Senior Data Engineer with strong hands-on expertise in Azure cloud data engineering and Databricks-based pipeline development. The ideal candidate will have extensive experience building scalable, high-performance data pipelines and modern data platforms using Azure-native technologies.\nThis is a core data engineering role focused on large-scale ETL/ELT development, orchestration, optimization, and cloud data platform engineering - not an analytics or machine learning-focused position.\nKey Responsibilities\nDesign, develop, and maintain scalable ETL/ELT data pipelines on Microsoft Azure.\nBuild and optimize data processing workflows using Databricks and PySpark.\nDevelop and support data integration solutions using Azure data services including:\nADLS\nADF\nSynapse\nDatabricks\nImplement large-scale data processing and performance optimization strategies.\nDesign scalable and efficient data models to support enterprise data platforms.\nManage data orchestration, monitoring, troubleshooting, and operational support activities.\nSupport CI/CD and DevOps practices for automated deployment and data workflow management.\nCollaborate with engineering and business teams to ensure reliable and high-quality data delivery.\nRequired Qualifications\nStrong hands-on experience with Microsoft Azure data engineering services.\nExtensive experience with Databricks and Spark-based processing frameworks.\nStrong proficiency in PySpark and SQL development.\nExperience building end-to-end ETL/ELT pipelines and scalable cloud data solutions.\nExpertise in large-scale data processing and performance tuning.\nStrong understanding of data orchestration, monitoring, and troubleshooting practices.\nExperience implementing CI/CD and DevOps processes for data engineering workflows.\nStrong analytical and problem-solving skills.\nPreferred Qualifications\nExperience working in enterprise-scale cloud migration or modernization initiatives.\nExposure to modern lakehouse or distributed data architectures.\nExperience supporting high-volume data processing environments.\nKey Skills & Competencies\nAzure Data Engineering\nDatabricks & PySpark\nETL / ELT Pipeline Development\nAzure Synapse, ADF & ADLS\nSQL & Data Modeling\nSpark Performance Optimization\nData Orchestration & Monitoring\n• CI/CD & DevOps for Data Workflows\nSkills\nAzure, Data Engineering","description_format":"text","description_chars":2411,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Science & Engineering"],"lifecycle":[{"event":"open","at":"2026-11-07T04:56:30Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long 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