Lead, Senior Data Engineers

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

📋 Description

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

• Align data to an ontology and publish it to a Neo4j graph.

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

• Handle real, sensitive client data.

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

• Lead: Take ownership of the technical direction of a pod, including its design, standards, and workflow sequencing.

• Lead: Collaborate directly with client architects and data owners to finalize source extracts, data contracts, and acceptance criteria.

• Lead: Review engineers’ code and designs, maintaining accountability for the pod’s deliverables.

• Senior: Manage substantial components end to end, such as source connectors, mappings, or domain reconciliation.

• Support a comprehensive enterprise program in healthcare operations and workforce decision-making.

• Integrate data from hospital systems into a unified ontology and knowledge graph to facilitate executive operational decisions and evaluations.

⛳️ Requirements

• Lead: Engage in hands-on production coding weekly; oversee a pod’s technical direction, design, standards, and workflow sequencing.

• Lead: Proven experience in leading a small team of engineers, establishing technical direction, and collaborating directly with client architects and stakeholders.

• Senior: Capability to manage significant components end to end, work autonomously, identify issues early, and operate without daily supervision.

• Production integration of complex enterprise source systems, including the management of late files, schema drift, duplicates, and conflicting records.

• Proficient in SQL and Python.

• Practical experience with Snowflake.

• Experience in constructing and operating layered pipelines (raw, cleaned, modeled) using dbt or similar tools.

• Maintain mappings and rules as versioned code.

• Familiar with data contracts and versioned schemas.

• Experience with data quality, lineage, and reconciliation.

• Knowledge of regulated or sensitive data under PHI/PII controls like HIPAA, including masking, tokenization, least-privilege access, and audit trails.

• Experience in creating multi-tenant data platforms with strict per-customer isolation.

• Familiarity with Azure, including storage, identity, and infrastructure as code using Terraform or Bicep.

• Regular use of coding assistants with verification of their outputs.

• Must reside in the United States and be authorized to work in the US.

• Available around December 1, 2026.

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

• Strong plus: Knowledge of graph databases, preferably Neo4j.

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

• Strong plus: Skills 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 open lineage and metadata standards such as OpenLineage.

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

🏝️ Benefits

• Multi-month engagement, with potential for extension.

• Occasional domestic travel may be required.