{"id":549312,"url":"https://alion.io/job/reflow-full-stack-data-platform-engineer","title":"Full-Stack Data Platform Engineer","company":{"id":450007,"name":"Reflow","domain":"reflow.ai","url":"https://alion.io/company/reflow-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":57,"open_postings":14,"ghost_share":0.714,"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":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE","BR","CA","FR","GB","AT","BE","BG","HR","CZ","DK","FI","HU","IE","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":33,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Metabase","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-03-18T21:45:53Z","employer_posted_date":"2026-03-18","last_verified_at":"2026-10-28T20:43:15Z","board_verified":true,"closed_at":null,"days_open":224,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":223},"description":"We’re building Reflow, a workforce and workflow intelligence platform that helps teams deeply understand how work gets done. As we scale, the data we collect is becoming richer and more complex. We need a data platform engineer to help us design and operate the systems that turn that data into intelligence - powering analytics, workflow insights, and economic modeling.\nWhat you’ll do\nDesign, implement, and maintain a scalable data warehouse (BigQuery, Snowflake, Redshift, or similar).\n\nDevelop and optimize ETL pipelines to ingest data from APIs and internal systems.\n\nModel and manage datasets to support flexible analytics and product features.\n\nCollaborate with engineering team to improve data mining and analytics performance.\n\nBuild and maintain dashboards and visualization tools (Metabase, Tableau, Power BI) to enable internal and external insights.\n\nEnsure data reliability, cost efficiency, and performance optimization across environments.\n\nImplement event-based pipelines for real-time analytics and reporting.\n\nContribute to data governance, privacy, and security best practices.\n\nWho you are\nExperienced in data warehouse architecture and scalable analytics infrastructure.\n\nStrong with SQL, data modeling, and pipeline performance optimization.\n\nHands-on with ETL tools, data ingestion frameworks, and cloud-based data operations.\n\nCapable of balancing technical depth with real-world impact - you build systems people actually use.\n\nComfortable navigating tradeoffs between cost, scalability, and complexity.\n\nCurious about how data translates into insights, decisions, and automation.\n\nBonus points\nExperience with Python for analytics and data wrangling.\n\nFamiliarity with AI/ML-driven analytics or predictive modeling.\n\nExposure to real-time or streaming data architectures.\n\nUnderstanding of data governance, compliance, and secure cloud operations.\n\nWhy join\nYou’ll build the backbone of Reflow’s intelligence layer, the systems that make our data usable, fast, and insightful. 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