{"id":2114457,"url":"https://alion.io/job/spyrosoft-senior-snowflake-engineer-2","title":"Senior Snowflake Engineer","company":{"id":933,"name":"Spyrosoft","domain":"spyro-soft.com","url":"https://alion.io/company/spyrosoft","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"A","score":87,"open_postings":76,"ghost_share":0,"stale_share":0.513,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Wrocław, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":76000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":35},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Databricks","optional":true}],"status":"live","first_seen_at":"2026-09-22T15:35:30Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-11-02T05:56:50Z","board_verified":true,"closed_at":null,"days_open":40,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":40},"description":"Tech Stack:\nSnowflake\n\nAWS\n\nSQL\n\nPython\n\nETL Development\n\nData Warehousing\n\nData Modeling\n\nCI/CD\n\nSpark (nice to have)\n\nAzure (Databricks, Synapse, Fabric)\n\nProject Description:\nWe are looking for a Senior Snowflake Engineer to join a data-focused team responsible for developing, maintaining, and optimizing cloud-based data solutions built on Snowflake within an AWS environment.\nIn this role, you will work on enhancing existing data platforms, improving data quality, ensuring platform stability, and supporting critical business processes through reliable and scalable data solutions. You will play a key role in troubleshooting production issues, optimizing system performance, and driving cost-efficient data operations.\nRequired Qualifications:\n5+ years of experience in Data Engineering\n\nStrong hands-on experience with Snowflake in AWS environments\n\nAdvanced SQL skills\n\nSolid programming experience in Python\n\nProven experience developing, maintaining, and optimizing data pipelines\n\nStrong troubleshooting and problem-solving skills\n\nExperience with performance tuning and cost optimization\n\nKnowledge of data warehousing concepts and data modeling\n\nAbility to work effectively in production support and enhancement activities\n\nNice to Have:\nExperience with Azure services such as Databricks, Synapse, or Fabric\n\nFamiliarity with Apache Spark\n\nExperience with CI/CD practices and tools\n\nKnowledge of data governance and data quality frameworks\n\nExperienced in using AI tools in day-to-day workflow\n\nScope of Services:\nDevelop, maintain, and 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