Lead Data Engineer, Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop connectors and pipelines that integrate HR, scheduling, EHR, and external benchmark sources into Snowflake on Azure.

• Transform enterprise data into a unified ontology and publish it to a Neo4j graph.

• Streamline customer data onboarding to enable new customer data to go live in days instead of months.

• Handle real, sensitive client data in a secure manner.

• Incorporate AI-assisted development as a standard practice in the development process.

• Take charge: define the technical direction, design, standards, and workflow sequencing of a pod.

• Take charge: collaborate directly with client architects and data owners to finalize source extracts, data contracts, and acceptance criteria.

• Take charge: review the code and designs of engineers, maintaining accountability for pod deliverables.

• Senior role: oversee significant components from start to finish, such as source connectors, mappings, or domain reconciliation.

• Create production data integrations capable of managing late files, schema drift, duplicates, and conflicting records.

• Assess incoming data, isolate failures, and adapt schemas without disrupting downstream systems.

• Confirm that data totals align with source systems, provide record-level lineage, and support idempotent reruns.

• Implement data masking, tokenization, least-privilege access, audit trails, and controls for sensitive fields.

• Develop scalable multi-tenant onboarding based on configuration and mapping rather than distinct codebases.

• Construct Azure storage, identity, and infrastructure-as-code components.

• Occasional domestic travel may be required.

⛳️ Requirements

• Must reside in the United States.

• Authorized to work in the United States.

• Available around December 1, 2026.

• Experience in integrating complex enterprise source systems in a production environment.

• Proficient in SQL and Python.

• Hands-on experience with Snowflake.

• Background in building and managing layered pipelines using dbt or a comparable tool.

• Familiarity with data contracts and versioned schemas.

• Experience in data quality, lineage, and reconciliation processes.

• Experience working with regulated or sensitive data under PHI/PII guidelines, such as HIPAA.

• Proven track record in developing multi-tenant data platforms with stringent per-customer isolation.

• Experience with Azure, particularly with storage, identity, and infrastructure as code using Terraform or Bicep.

• Regular use of coding assistants with validation of generated outputs.

• Lead level: experience in guiding a small engineering team, establishing technical direction, and collaborating directly with client architects and stakeholders.

• Senior level: capacity to manage significant projects independently, identify issues early, and operate without daily oversight.

• Strong plus: experience with healthcare data systems such as Workday, UKG, Epic, Cerner, or MEDITECH.

• Strong plus: experience with graph databases, preferably Neo4j.

• Strong plus: expertise in ontology or common data model mapping.

• Strong plus: experience in entity resolution.

• Strong plus: familiarity with external benchmark or reference data feeds.

• Strong plus: experience with event-ready batch pipelines featuring idempotent loads and incremental refresh.

• Strong plus: knowledge of OpenLineage or similar lineage and metadata standards.

• Strong plus: experience in monitoring production data feeds for freshness, volume, and failure alerts.

🏝️ Benefits

• Engagement lasting several months, with a high likelihood of extension.

• Fully remote work arrangement.

• Occasional domestic travel may be required.