{"id":3530451,"url":"https://alion.io/job/softloft-senior-data-engineer-analytics-engineer","title":"Senior Data Engineer / Analytics Engineer","company":{"id":4490147,"name":"Softloft","domain":"soft-loft.com","url":"https://alion.io/company/softloft-2","size_band":"11-50","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data 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Analytics Engineering, or similar roles.\n\nGoogle Cloud Platform (GCP) & BigQuery — strong hands-on experience developing and maintaining cloud-based data solutions.\n\nPython & SQL — advanced proficiency in building, optimizing, and maintaining production data pipelines.\n\nApache Airflow — practical experience with workflow orchestration, scheduling, and monitoring data pipelines.\n\nETL/ELT & Data Warehousing — solid understanding of data integration, transformation processes, and data warehouse architecture.\n\nAnalytics & BI — Medium Priority\n\nData Modeling — experience with dimensional modeling, curated data models, and semantic layers in BigQuery.\n\nPower BI — experience developing semantic models, datasets, and business intelligence reports.\n\nAPI Integrations — experience integrating external data sources and third-party APIs into data pipelines.\n\nInfrastructure & Engineering Practices\n\nDocker & Google Cloud Run — experience deploying, managing, and troubleshooting containerized workloads.\n\nGit & CI/CD — experience with version control, code reviews, automated deployments, and maintainable code practices.\n\nDocumentation & Collaboration — ability to work independently, document technical solutions, and share knowledge with the team.\n\nResponsibilities\n\nDesign, develop, and maintain production-grade data pipelines using Python and SQL.\n\nBuild and optimize data processing solutions on GCP and BigQuery.\n\nDevelop and manage data orchestration workflows using Apache Airflow.\n\nIntegrate external data sources through third-party APIs.\n\nDesign and maintain curated data models, dimensional models, and semantic layers in BigQuery.\n\nDevelop and support Power BI semantic models and reporting solutions.\n\nDeploy, monitor, and troubleshoot containerized workloads using Docker and Google Cloud Run.\n\nEnsure data quality, pipeline reliability, and performance.\n\nFollow engineering best practices, including Git workflows, CI/CD, code reviews, and technical documentation.\n\nCollaborate with internal data and business teams to support ongoing analytics initiatives and the BI roadmap.\n\nProject Details\n\nThis is an opportunity to join an existing, long-term private-sector project with an established cloud-based data platform.","description_format":"text","description_chars":2858,"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":"Ukraine","iso":"UA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-30T15:41:15Z"}],"visa":[],"liveness":{"score":85,"band":"hot","label":"Hiring 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