Healthcare Data Engineering Lead Databricks Analytics

Guidehouse; San Antonio (TX); Presencial; USD 130 000 - 216 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Tuition Reimbursement

Mobility Stipend

Resumo da oferta

Guidehouse is seeking a senior data engineering leader to drive complex healthcare data initiatives. You will mentor engineers, manage multi‑stream delivery, and translate business needs into technical solutions across healthcare data domains.

You will oversee data integration, validation, and pipeline design using Databricks, Python, and SQL, ensuring quality and timely delivery for clients in a fast‑paced environment.

Qualificações

• Bachelor's degree required; advanced degree optional.
• 5+ years experience in healthcare or public sector data.
• Experience with large, complex datasets and translating requirements.
• Excellent communication with clients and non-technical audiences.
• Ability to lead teams through complex data issues.
• Familiarity with data quality and governance in healthcare.

Responsabilidades

• Lead technical delivery for healthcare data and analytics initiatives.
• Manage workplans, priorities, risks, and deliverables.
• Bridge business and technical teams converting requirements into solutions.
• Ingest, map, transform, validate, and integrate healthcare data from multiple sources.
• Design and develop scalable data pipelines and analytics using Databricks, Python, SQL.

Conhecimentos

Data engineering

Healthcare data

Leadership

Stakeholder communication

Project management

Mentoring

Formação académica

Bachelor's degree

Ferramentas

Databricks

Python

SQL

Descrição da oferta de emprego

Guidehouse is seeking a senior data engineering leader to drive complex healthcare data initiatives. You will mentor engineers, manage multi‑stream delivery, and translate business needs into technical solutions across healthcare data domains.

You will oversee data integration, validation, and pipeline design using Databricks, Python, and SQL, ensuring quality and timely delivery for clients in a fast‑paced environment.