Lead & Senior Data Engineers
Virtasant Inc.5 days ago
Remote, United StatesSenior / Staff+
Responsibilities
- Build connectors and production data pipelines from HR, scheduling, EHR, and external benchmark sources into Snowflake on Azure.
- Map incoming data to a shared ontology and publish it to a Neo4j graph.
- Build layered raw, cleaned, and modelled pipelines using dbt or equivalent, with mappings and rules maintained as versioned code.
- Define and enforce data contracts and versioned schemas, including arrival validation, quarantine handling, and safe schema evolution.
- Implement data quality, lineage, reconciliation, idempotent loads, incremental refreshes, and production monitoring for freshness, volume, and failures.
- Apply PHI/PII controls including masking, tokenization, least-privilege access, audit trails, and sensitive-field protection.
- Create repeatable multi-tenant onboarding through configuration and mapping rather than customer-specific codebases.
- For Lead positions, own pod technical direction, standards, work sequencing, code and design reviews, delivery accountability, and collaboration with client architects and data owners.
- For Senior positions, independently own significant components such as source connectors, domain mappings, or reconciliation.
- Use AI coding assistants daily and verify their output.
Requirements
- Strong SQL and Python skills with hands-on Snowflake experience.
- Production experience integrating messy enterprise source systems rather than only clean APIs, including handling late files, schema drift, duplicates, and conflicting records.
- Experience building and operating layered data pipelines with dbt or an equivalent tool.
- Experience with data contracts, versioned schemas, data quality, lineage, reconciliation, and rerunnable loads without duplication.
- Experience with regulated or sensitive data and controls such as HIPAA, masking, tokenization, least-privilege access, and audit trails.
- Experience building multi-tenant data platforms with strict per-customer isolation and repeatable customer onboarding.
- Azure experience spanning storage, identity, and infrastructure as code using Terraform or Bicep.
- Ability to use coding assistants responsibly and validate generated code.
- Must be based in the United States and authorized to work in the US.
- Lead candidates must have led a small engineering team, set technical direction, and worked directly with client architects and stakeholders.
- Preferred experience includes healthcare workforce systems such as Workday or UKG, scheduling and timekeeping systems, or EHRs such as Epic, Cerner, or MEDITECH.
- Preferred experience includes Neo4j and graph modelling, ontology or common-data-model mapping, entity resolution, external benchmark or reference feeds, event-ready batch pipelines, OpenLineage, and production data-feed monitoring.
Benefits
- Remote United States work arrangement.
- Multi-month engagement likely to extend.
- Expected start around December 1, 2026.
- Occasional domestic travel may be required.
- Four openings: two Lead and two Senior positions.
About Virtasant Inc.
Virtasant provides cloud and software engineering services to enterprises, focusing on cloud migration and modernization, cost optimization, and AI-enabled transformation. The privately held, fully remote company also develops Helias, a cloud cost optimization platform used to understand, govern, and reduce spend at scale. Founded in 2007 and headquartered in Austin, Texas, it serves global customers across AWS, Azure, and Google Cloud.