{"id":105929,"url":"https://alion.io/job/freedompay-snowflake-data-engineer-2","title":"Snowflake Data Engineer","company":{"id":13930,"name":"FreedomPay","domain":"freedompay.com","url":"https://alion.io/company/freedom-pay","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":91,"open_postings":21,"ghost_share":0,"stale_share":0.143,"repost_share":0,"time_to_fill_p50_days":63,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":106000,"max_usd":230000,"period":"year","method":"role_country_seniority_unknown","sample_n":3203},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Cortex","optional":false},{"name":"JavaScript","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Prometheus","optional":true},{"name":"Streamlit","optional":true}],"status":"live","first_seen_at":"2026-07-29T19:30:40Z","employer_posted_date":"2026-07-29","last_verified_at":"2026-10-17T11:28:05Z","board_verified":true,"closed_at":null,"days_open":79,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":79},"description":"The FreedomPay Commerce Platform is the technology of choice for many of the largest companies across the globe in retail, hospitality, lodging, gaming, sports and entertainment, foodservice, education, healthcare and financial services. FreedomPay’s technology has been purposely built to deliver rock solid performance in the highly complex environment of global commerce. The company maintains a world-class security environment and was first to earn the coveted validation by the PCI Security Standards Council against Point-to-Point Encryption with EMV standard in North America. FreedomPay’s robust solutions across payments, security, identity and data analytics are available in-store, online and on-mobile and are supported by rapid API adoption. The award winning FreedomPay Commerce Platform operates on a single, unified technology stack across multiple continents allowing enterprises to deliver a consistent, repeatable experience on a global scale. FreedomPay is a fast paced, high growth company with a great culture with competitive benefits and compensation with a business casual atmosphere.\nWe are seeking a Snowflake Data & AI Engineer to design, build, and operationalize production-grade data and artificial intelligence solutions on Snowflake. This person should bring hands-on experience developing data pipelines, data models, integrations, and AI-powered applications in a production environment and be comfortable working across Snowflake SQL, Cortex AI, semantic views, agent development, and modern data engineering patterns.\nThis role is designed around engineering and delivery responsibilities, including building trusted data products, implementing scalable ingestion and transformation pipelines, developing and maintaining AI agents, and enabling secure data sharing. The engineer will partner with the Snowflake Account Administrator, security, and infrastructure teams on account-level access, governance, identity, cost controls, and platform configuration rather than owning those administrative functions.\nThis is a mid level engineering role focused on production delivery, solution ownership, and technical leadership for Snowflake-based data and AI capabilities. The engineer is expected to independently drive implementation decisions, establish durable engineering patterns, and coordinate with platform, security, infrastructure, and business stakeholders while keeping account administration responsibilities clearly separated.\nKey responsibilities\nDesign, build, test, deploy, and maintain scalable data pipelines, transformations, and data models on Snowflake.\nDevelop and productionize AI and machine learning solutions using Snowflake Cortex AI, including AI agents, retrieval and search experiences, and external-facing applications.\nCreate, validate, version, and maintain semantic views and related business logic to support accurate, governed AI and analytics experiences.\nBuild and support ingestion patterns using Snowflake Openflow, Kafka, Snowpipe, APIs, and third-party connectors, including integrations with enterprise applications such as NetSuite.\nDevelop reusable engineering components and automation using advanced SQL, SnowSQL or Snowflake CLI, Python, and, where appropriate, JavaScript.\nImplement data quality checks, automated testing, observability, error handling, and deployment controls to ensure reliable production data and AI workloads.\nOptimize data models, queries, pipelines, and AI workloads for performance, maintainability, scalability, and efficient consumption.\nDesign and implement secure Snowflake data sharing and data-product patterns for internal teams, partners, and customers.\nEstablish software engineering practices for Snowflake development, including source control, CI/CD, environment promotion, documentation, and release management.\nTroubleshoot pipeline, application, semantic-layer, and data-quality issues and drive them through resolution.\nPartner with the Snowflake Account Administrator and security teams on required roles, privileges, SSO/SCIM integration, governance policies, and production readiness without assuming ownership of account administration.\nCollaborate with data engineering, analytics, application, product, and business teams to translate high-value use cases into durable data and AI solutions.\nRequired experience\nPrior hands-on experience as a Snowflake data engineer, AI engineer, analytics engineer, or similar role delivering production solutions on Snowflake.\nStrong Snowflake SQL skills and demonstrated experience developing data pipelines, transformations, data models, and performance-tuned workloads.\nExperience building and maintaining applications or AI/ML solutions with Snowflake Cortex AI or comparable large language model and machine learning technologies. \nExperience designing semantic layers or semantic views that translate business concepts into governed, reusable definitions for analytics and AI.\nProficiency in Python and experience applying software engineering practices such as testing, source control, CI/CD, and code review.\nExperience with streaming, event-driven, or connector-based ingestion using technologies such as Kafka, Openflow, Snowpipe, APIs, or comparable integration frameworks.\nExperience supporting production data platforms on Azure and integrating with enterprise identity and security patterns.\nAbility to diagnose and resolve complex data, pipeline, application, and performance issues.\nAbility to work cross-functionally with platform administration, security, data engineering, analytics, application, and business teams.\nPreferred qualifications\nExperience creating, deploying, evaluating, and maintaining AI agents or generative AI applications in production.\nExperience with Snowflake Cortex Analyst, Cortex Search, Snowpark, Streamlit in Snowflake, or Snowflake-native application development.\nExperience with Snowflake data sharing, Marketplace listings, secure data products, or customer-facing data delivery patterns.\nExperience implementing Openflow or Kafka-based ingestion and integrating SaaS or ERP sources such as NetSuite.\nExperience with Azure services, Azure AD SSO/SCIM integration, and secure cloud application patterns.\nExperience working with SQL Server in a hybrid SQL Server and Snowflake environment.\nJavaScript development experience is a plus.\nSnowflake certifications are a plus.\nExperience supporting regulated, payment, financial-services, or other security-sensitive environments is strongly preferred.\nWhat success looks like\nReliable, scalable data pipelines and data products move from development to production with strong quality and observability.\nAI agents and applications deliver accurate, governed, measurable value to internal users and external customers.\nSemantic views remain trusted, testable, and resilient as underlying data and business definitions evolve.\nNew data sources and streaming workloads are integrated efficiently using maintainable, reusable engineering patterns.\nData and AI workloads are performant, cost-aware, documented, and supported through disciplined software delivery practices.\nEngineering teams can move quickly while account administration, security, and governance responsibilities remain clearly separated and well coordinated.","description_format":"text","description_chars":7282,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-07-29T19:30:40Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"Filed H-1B visas in the last two years","filings_12m":0,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":null,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, 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