Lead, Senior Data Engineers

Virtasant

. Build connectors and pipelines from HR, scheduling, EHR, and external benchmark sources into Snowflake on Azure .

Posted 11/6/2026contractRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and integrating data pipelines from various sources into Snowflake on Azure, while ensuring data quality and compliance with PHI/PII regulations. Proven ability to lead technical direction, manage team dynamics, and deliver end-to-end solutions in healthcare data environments.

Highest-signal resume keywords

Strong SQLPython ProgrammingSnowflake ExperienceHealthcare Data ExperienceData Quality and Reconciliation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production IntegrationData ContractsVersioned Code ManagementEntity ResolutionEvent-Ready Batch PipelinesOntology MappingGraph Database ExperienceData LineageIncremental RefreshSchema Drift Handling

Soft Skills

LeadershipProblem-SolvingCollaborationCommunication

Tools & Technologies

AzureTerraformBicepNeo4jDbt

Industry Keywords

PHIPIIHIPAAHealthcare OperationsWorkforce Decisioning

Tech Stack

Tools & technologies

AzureNeo4jPythonSnowflakeSQLTerraform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Multi-month engagement, likely to extend
Occasional domestic travel may be required