Data Engineer (Databricks) - Healthcare

We are seeking a skilled Data Engineer to design, develop, and optimize data pipelines and analytics platforms using Databricks. The ideal candidate will have experience working with healthcare data, enabling organizations to transform complex datasets into actionable insights while maintaining data quality, security, and compliance.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks.

• Build and optimize ETL/ELT processes for large datasets.

• Integrate data from multiple sources into centralized data platforms.

• Collaborate with business stakeholders, analysts, and technical teams to support reporting and analytics requirements.

• Ensure data quality, accuracy, and consistency across platforms.

• Optimize data storage, processing performance, and pipeline efficiency.

• Support data governance, security, and compliance initiatives.

• Troubleshoot and resolve data-related issues and bottlenecks.

• Document data workflows, processes, and technical solutions.

Qualifications & Requirements

• Proven experience as a Data Engineer.

• Strong hands-on experience with Databricks.

• Previous experience working within the healthcare industry (required).

• Experience working with healthcare datasets, healthcare analytics, data integration, or healthcare reporting environments.

• Experience building and maintaining scalable data pipelines, ETL/ELT processes, and data warehouses.

• Proficiency in SQL and data engineering best practices.

• Strong understanding of data quality, governance, security, and compliance requirements.

• Excellent analytical, problem-solving, and troubleshooting skills.

• Strong communication and stakeholder management skills.

• Ability to work independently and collaborate effectively within cross-functional teams.