{"id":3358572,"url":"https://alion.io/job/exl-snowflake-data-engineer","title":"Snowflake Data Engineer","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":269,"ghost_share":0,"stale_share":0.996,"repost_share":0.004,"time_to_fill_p50_days":15,"computed_at":"2026-10-29T05:49:05Z"}},"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":["Pittsburgh, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":99000,"max_usd":188000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Cortex","optional":false},{"name":"Data Vault","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"HIPAA","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-10-27T16:17:55Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T19:47:40Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"We are seeking a highly skilled Snowflake Data Engineer with deep expertise in Snowflake's modern AI and data platform capabilities. The ideal candidate goes beyond traditional data engineering - they are proficient in Snowflake Cortex AI, building intelligent agents, developing Streamlit-based data applications, and leveraging Snowpark for advanced analytics. This role is central to our healthcare data modernization strategy and requires someone who can architect, build, and scale next-generation data and AI solutions on Snowflake.\n Snowflake AI & Cortex (Core Focus)\nDesign and deploy AI-powered solutions using Snowflake Cortex, including LLM-based functions (COMPLETE, SUMMARIZE, SENTIMENT, TRANSLATE, CLASSIFY) for healthcare data use cases.\nBuild and orchestrate multi-step AI agents using Snowflake Cortex Agents and Cortex Analyst to automate data workflows and enable natural language querying of structured healthcare datasets.\nLeverage Cortex Search for semantic and hybrid search capabilities across unstructured clinical and operational data.\nImplement RAG (Retrieval-Augmented Generation) pipelines using Snowflake's native vector embeddings and VECTOR data type for domain-specific LLM grounding.\nUse Arctic Embed and other Snowflake-native embedding models to build scalable, cost-effective AI features within the Snowflake perimeter.\nStreamlit & Application Development\nBuild interactive, production-grade data applications and internal tools using Streamlit in Snowflake (SiS) for business stakeholders and data consumers.\nDevelop self-service analytics dashboards and AI-assisted exploration tools embedded directly in the Snowflake environment.\nCreate Streamlit-based front-ends for Cortex-powered features - enabling clinical users and analysts to interact with AI outputs without leaving the Snowflake ecosystem.\nSnowpark & Data Engineering\nDevelop complex data transformations, feature engineering pipelines, and ML preprocessing workflows using Snowpark for Python.\nBuild and manage scalable ELT pipelines leveraging Snowflake Streams, Tasks, Dynamic Tables, and Snowpipe for real-time and batch ingestion.\nOptimize Snowflake performance through micro-partition pruning, clustering keys, materialized views, search optimization, and warehouse right-sizing.\nDesign and implement Data Vault or Medallion architecture patterns for healthcare data platforms.\nIntegrate Snowflake with upstream healthcare data sources and downstream BI platforms.\nData Governance & Security\nImplement Snowflake-native governance including row-level security, column masking policies, object tagging, and data classification.\nEnsure HIPAA compliance and PHI data handling best practices across all Snowflake data assets.\nManage data lineage, cataloging, and access control in alignment with organizational governance frameworks.\nCollaboration & Platform Ownership\nPartner with data scientists, ML engineers, clinical analysts, and business stakeholders to translate requirements into robust Snowflake-native solutions.\nAct as a Snowflake subject matter expert and internal champion - driving best practices, onboarding teams, and evangelizing new platform capabilities.\nParticipate in platform roadmap planning and contribute to Snowflake feature adoption strategy.\n 5+ years of data engineering experience, with at least 3+ years of hands-on Snowflake expertise.\nProven experience with Snowflake Cortex AI features: LLM functions, Cortex Analyst, Cortex Search, and AI agent orchestration.\nHands-on experience building Streamlit in Snowflake applications deployed in production environments.\nProficiency in Snowpark for Python - including custom UDFs/UDTFs, stored procedures, and DataFrame API usage.\nStrong SQL skills with deep understanding of Snowflake's execution engine, query profiling, and optimization techniques.\nExperience with Snowflake data sharing, Marketplace, and cross-cloud/cross-region replication.\nFamiliarity with vector search, embeddings, and RAG architecture patterns within or integrated into Snowflake.\nGood to have experience with cloud platforms: Azure, and GCP - and connecting Snowflake to cloud-native services.\nStrong understanding of data modeling for analytics (star schema, Data Vault, Medallion/Lakehouse patterns).\nKnowledge of Medicare Stars Patient Safety is a strong plus.","description_format":"text","description_chars":4320,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-27T20:37:21Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 281 · green card filings: 17","filings_12m":281,"filings_prev_12m":395,"green_card_filings_12m":17,"median_offered_wage_usd":128641,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":125}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":15,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/exl-snowflake-data-engineer","json_url":"https://alion.io/job/exl-snowflake-data-engineer.json","meta":{"generated_at":"2026-10-29T21:40:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":32131,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":38016},"rest":"https://alion.io/mcp/rest/get_company?id=38016"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fexl-snowflake-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fexl-snowflake-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fexl-snowflake-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/exl-snowflake-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fexl-snowflake-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3358572}},{"tool":"search_jobs","arguments":{"company":"exlservice.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3358572},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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