
51 - 200 employees
💼 Consulting
🏢 Enterprise
🤝 B2B
Consulting • Enterprise • B2B
Virtasant is a cloud services and optimization company that helps businesses migrate to, manage, and build on public cloud platforms. They combine a proprietary automation platform with managed services and FinOps expertise to reduce cloud costs (claiming average savings of over 50%), support Cloud FinOps programs, and deliver outcome-based engagements rather than hourly or seat-based billing. Virtasant also provides enterprise AI guidance and partners with major cloud providers (AWS, Google Cloud, Azure) to deliver migration, optimization, and 24/7 managed operations.
🔥 0 minutes ago
Where this job comes from
Posted on Virtasant's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

51 - 200 employees
💼 Consulting
🏢 Enterprise
🤝 B2B
Consulting • Enterprise • B2B
Virtasant is a cloud services and optimization company that helps businesses migrate to, manage, and build on public cloud platforms. They combine a proprietary automation platform with managed services and FinOps expertise to reduce cloud costs (claiming average savings of over 50%), support Cloud FinOps programs, and deliver outcome-based engagements rather than hourly or seat-based billing. Virtasant also provides enterprise AI guidance and partners with major cloud providers (AWS, Google Cloud, Azure) to deliver migration, optimization, and 24/7 managed operations.
• Build connectors and pipelines from HR, scheduling, EHR, and external benchmark sources into Snowflake on Azure • Map data to an ontology and publish it to a Neo4j graph • Make customer data onboarding repeatable so new customer data goes live in days rather than months • Work with real, sensitive client data • Use AI-assisted development as a normal part of development • Lead: Own the technical direction of a pod, including design, standards, and work sequencing • Lead: Work directly with client architects and data owners to agree source extracts, data contracts, and acceptance criteria • Lead: Review engineers’ code and designs and remain accountable for the pod’s deliverables • Senior: Own significant pieces end to end, such as source connectors, mappings, or domain reconciliation • Support a large enterprise program in healthcare operations and workforce decisioning • Integrate data from hospital systems into a shared ontology and knowledge graph to support executive operational decisions and measurement
• Lead: Hands-on production coding every week; own a pod’s technical direction, design, standards, and work sequencing • Lead: Experience leading a small team of engineers, setting technical direction, and working directly with client architects and stakeholders • Senior: Ability to own significant pieces end to end, work independently, raise problems early, and require no day-to-day supervision • Production integration of messy enterprise source systems, including handling late files, schema drift, duplicates, and conflicting records • Strong SQL and Python • Hands-on Snowflake experience • Experience building and running layered pipelines (raw, cleaned, modelled) with dbt or equivalent • Mappings and rules maintained as versioned code • Data contracts and versioned schemas • Data quality, lineage, and reconciliation experience • Experience with regulated or sensitive data under PHI/PII controls such as HIPAA, including masking, tokenisation, least-privilege access, and audit trails • Experience building multi-tenant data platforms with strict per-customer isolation • Azure experience, including storage, identity, and infrastructure as code with Terraform or Bicep • Daily use of coding assistants with verification of their output • Must be based in the United States and authorized to work in the US • Available around December 1, 2026 • Strong plus: Healthcare data experience with Workday, UKG, Epic, Cerner, or MEDITECH • Strong plus: Graph databases, ideally Neo4j • Strong plus: Ontology or common data model mapping • Strong plus: Entity resolution • Strong plus: External benchmark or reference data feeds • Strong plus: Event-ready batch pipelines with idempotent loads and incremental refresh • Strong plus: Open lineage and metadata standards such as OpenLineage • Strong plus: Production data-feed monitoring for freshness, volume, and failure alerts
• Multi-month engagement, likely to extend • Occasional domestic travel may be required
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