{"id":2046601,"url":"https://alion.io/job/vertiv-it-data-analytics-specialist-3","title":"IT Data Analytics Specialist","company":{"id":58885,"name":"Vertiv","domain":"vertiv.com","url":"https://alion.io/company/vertiv","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":84,"open_postings":320,"ghost_share":0,"stale_share":0.844,"repost_share":0.006,"time_to_fill_p50_days":4,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Westerville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":85000,"max_usd":160000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":454},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"Django REST Framework","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google GKE","optional":false},{"name":"GraphQL","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"MySQL","optional":false},{"name":"Nest.JS","optional":false},{"name":"Node JS","optional":false},{"name":"Pinia","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Redux","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"State Management","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false},{"name":"Zustand","optional":false},{"name":"Cortex","optional":true},{"name":"Datadog","optional":true},{"name":"Delta Lake","optional":true},{"name":"Django","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-10-07T17:51:41Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-17T00:32:18Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"We are looking for a talented and driven Full-Stack Engineer to join our Data Products Enablement team. In this role, you will be at the intersection of modern data engineering and full-stack application development, building the platforms, tools, and self-service interfaces that empower our internal data consumers.\nYou will work closely with data engineers, analytics engineers, product managers, and business stakeholders to design, build, and maintain scalable data products powered by Snowflake. Your work will directly influence how teams across the organization discover, access, trust, and act on data.\nThis is a high-impact, hands-on engineering role ideal for someone who thrives at the crossroads of data infrastructure and software engineering, and who is passionate about building products that make data radically more accessible\nKey Responsibilities\nPlatform & Product Development\nDesign and develop full-stack data product features, including front-end dashboards, APIs, and back-end data pipelines, integrating seamlessly with Snowflake as the core data platform.\nBuild and maintain internal self-service data portals and catalogues that enable business users to explore, request, and consume certified datasets without engineering intervention.\nArchitect RESTful and GraphQL APIs that surface Snowflake data assets to front-end applications, partner systems, and embedded analytics tools.\nDevelop reusable UI components and micro-frontends using modern JavaScript frameworks, adhering to accessibility and performance best practices.\nSnowflake & Data Engineering\nCollaborate on the design of data contracts and semantic layer definitions to provide consistent, trusted metrics to downstream consumers.\nDevOps, Quality & Collaboration\nChampion CI/CD best practices for both application and data code, maintaining robust automated test coverage (unit, integration, and end-to-end).\nParticipate actively in Agile ceremonies, contribute to sprint planning, and drive engineering excellence through code reviews, pair programming, and technical documentation.\nMonitor production systems, triage incidents, and perform root-cause analysis, ensuring high availability and SLA compliance across data product services.\nMentor junior engineers and contribute to the team's technical knowledge base through design documents, runbooks, and internal tech talks.\nRequired Qualifications\nBachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline.\n4-8 years of professional experience in software engineering, with at least 2 years directly involving data platform or data product development.\nDemonstrated track record of delivering production-grade, full-stack applications with measurable business impact.\nProficiency in advanced SQL (window functions, CTEs, recursive queries, QUALIFY) and Snowflake-specific DDL/DML including Time Travel, Zero-Copy Cloning, and Streams & Tasks.\nSolid understanding of Snowflake's multi-cluster architecture, virtual warehouse sizing/scaling policies, query profiling, and cost governance via resource monitors.\n Front-End: Strong proficiency in React.js (with hooks and context) or Vue.js, TypeScript, and a working knowledge of state management libraries (Redux / Pinia / Zustand).\n Back-End: Hands-on experience building production APIs with Python (FastAPI / Flask / Django REST Framework) or Node.js (Express / NestJS).\n Databases: Working knowledge 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