{"id":2581715,"url":"https://alion.io/job/total-perform-data-engineer","title":"Data Engineer","company":{"id":4417143,"name":"Perform","domain":"totalperform.com","url":"https://alion.io/company/totalperform","size_band":"1-10","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["São Paulo, Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":102000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"SQL","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"Python","optional":true},{"name":"Rest API","optional":true}],"status":"live","first_seen_at":"2026-05-15T18:42:21Z","employer_posted_date":"2026-06-05","last_verified_at":"2026-10-15T14:03:43Z","board_verified":true,"closed_at":null,"days_open":152,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":152},"description":"Own end-to-end data pipelines and migrations on Azure; ship reliable, production-ready data solutions, collaborate across teams, and ensure data accuracy.\nWe are seeking a Data Engineer to join our product development team. In this role, you will design, build, and support data migrations, pipelines, and APIs that power web and mobile software applications.\nYou will work closely with engineers and stakeholders in a collaborative, fast-paced environment. This is a hands-on technical role focused on delivering reliable, production-ready data solutions.\nThis role focuses on building data solutions that support core business operations and application workflows, not analytics or data science use cases.\nWhat You’ll Do\nCollaborate with engineers to design and execute data migrations between systems\nPerform data mapping, transformation, validation, and reconciliation\n\nEnsure data accuracy and completeness across environments\n\nBuild and maintain production data pipelines and APIs\n\nDevelop scripts and services for data movement and validation\n\nModel data and analyze source and target schemas\n\nWrite complex SQL queries and work with relational and NoSQL databases\n\nIdentify and resolve data quality issues during migration\n\nSupport the full lifecycle of delivery: design, development, deployment, testing, monitoring, and ongoing support\n\nContribute to discussions around data quality, test strategy, and automation\n\nIntegrate and manage data flows across multiple systems and applications\n\nDesign and implement data models that reflect business logic and support application use cases\n\nDesign and execute complex data migrations between systems, ensuring data integrity and consistency\n\nHow You’ll Succeed\nDeliver stable, well-tested data pipelines and migration solutions\n\nWrite clean, maintainable production code\n\nMaintain strong attention to detail when handling data transformations\n\nCommunicate clearly with technical teammates and stakeholders\n\nThrive in a collaborative, service-oriented environment\n\nWho You Are\n3+ years of experience in a Data Engineering role.\n\nExperience working with transactional or financial data is a plus\n\nAt least 5 years of experience delivering production software solutions\n\nProficient in Python with experience shipping production pipelines\n\nStrong hands-on experience with SQL and NoSQL databases (SQL Server and MongoDB preferred)\n\nExperience building scripts or services for data movement and validation\n\nFamiliar with Azure data tools (such as Azure Data Factory, Azure Data Lake, Microsoft Fabric) or comparable platforms\n\nExperience using Git or other distributed version control systems\n\nFamiliar with automated deployments and continuous delivery practices\n\nSolid understanding of REST APIs, JSON, testing, security, and performance best practices\n\nBachelor’s degree in Computer Science or related field, or equivalent experience\n\nStrong verbal and written communication skills\n\nPosition Details\nRemote: Fully-remote\n Location: State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, Belize City, San Salvador, Toronto, Mexico City, Managua, Panama City, Milton\nYour partner for AI, consulting, software development, and nearshore 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