{"id":692193,"url":"https://alion.io/job/aubrant-senior-data-engineer-snowflake-latam-only","title":"Senior Data Engineer - Snowflake (LATAM Only)","company":{"id":673309,"name":"Aubrant Digital","domain":"aubrant.com","url":"https://alion.io/company/aubrant","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"C","score":63,"open_postings":18,"ghost_share":0.611,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Escazú, Costa Rica"],"countries":["CR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":93000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Agile","optional":true},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-07-29T00:10:05Z","employer_posted_date":"2026-07-29","last_verified_at":"2026-10-28T16:00:57Z","board_verified":true,"closed_at":null,"days_open":91,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":91},"description":"About Aubrant\nAubrant Digital is a leader in multi-shore custom application development. We are passionate about solving our clients’ business problems through consultative teamwork, innovative software, and proven processes. We’ve served more than 50 clients and delivered hundreds of high quality, custom enterprise applications. Our clients value us as integral team members who get the job done on time and on spec, and we are proud of our high client retention rate and under 2% staff turnover. With offices in New Jersey, Boston, Costa Rica, and Eastern Europe, we execute the full software lifecycle, from architecture and design through development, QA and application maintenance & support. Our company culture emphasizes client service, trust-based relationships, and innovation.\n Aubrant Digital is seeking highly skilled and collaborative Senior Data Engineers to join a cross-functional scrum team and focus on on data engineering execution while migrating pipelines from Informatica to Azure Data Factory (ADF) on a Snowflake-centric stack. This is a hands-on contributor role accountable for taking stories from intake through to Production.\nMust-Have Requirements\nHands-on contributor with a proven track record of taking stories from start to Production.\nDemonstrated ability to work independently as a “doer,” jumping into complex tasks and driving them to completion with minimal guidance.\nStrong, hands-on experience with Snowflake, including:\nQuery writing\nQuery performance tuning\n\nWorking knowledge of core Snowflake features (e.g., dynamic tables, streams, tasks, warehouses, roles)\n\nA process-oriented mindset, with experience identifying gaps, improving workflows, and implementing repeatable, scalable solutions.\nDemonstrated ability to quickly learn new tools, technologies, and patterns, especially in a rapidly evolving data ecosystem.\nStrong collaboration skills, with the ability to work effectively within a cross-functional scrum team, engineers, analysts, architects, and product partners; to refine requirements, align delivery expectations, and identify process improvements.\nUnderstanding ETL Orchestration, including orchestration, dependency management, error handling, and data validation.\nShould-Have Requirements\nPython skills with practical experience building data pipelines, automation scripts, integrations, and reusable components.\nAbility to write clean, maintainable, testable code following modern engineering best practices.\n\nPrior experience implementing template-based and configuration-driven frameworks for ETL processes.\nAbility to design, optimize, and troubleshoot complex data movement pipelines.\nStrong understanding of structured data storage, performance tuning, and schema design.\nExperience with Azure Data Factory (ADF) for orchestration and data movement.\nAbility to do a pull request, migrate code, branching\nCould-Have / Nice-to-Have Requirements\nExperience migrating pipelines from Informatica to ADF or another modern orchestration platform.\nFamiliarity with DevOps concepts and processes, particularly around:\nCI/CD for data engineering\nBranching strategies \n\nAbility to translate solution architecture blueprints into actionable implementation steps.\nCapable of working closely with a lead engineer or architect to break down a strategy and drive execution on individual components.\nIdeal Candidate Traits:\nCurious, proactive, and collaborative.\nStrong communication and teamwork skills.\nCommitted to delivering solutions together, not in competition.\nEmbraces Agile methodology and promotes a one-team 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