Senior Data Engineer

We are looking for a Data Engineer with strong expertise in Databricks, data engineering, and healthcare data. The ideal candidate will be responsible for designing scalable, secure, and high-performance data platforms supporting healthcare analytics and data integration.

The candidate should have strong knowledge of modern data architecture, Lakehouse architecture, SQL, Python, data governance, and healthcare domain workflows.

Responsibilities

- Design and lead Databricks Lakehouse for large-scale healthcare data platforms.

- Design data ingestion, transformation, storage, and consumption patterns using Databricks.

- Develop Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables/Lakeflow.

- Integrate data from multiple healthcare sources, including clinical, claims, eligibility, provider, and patient systems.

- Design robust ETL/ELT pipelines using PySpark, SQL, and Databricks.

- Establish data quality, validation, reconciliation, lineage, and governance frameworks.

- Design secure healthcare data solutions while considering HIPAA and PHI/PII protection requirements.

- Work with cloud platforms such as Azure, AWS, or GCP to build scalable data solutions.

- Collaborate with data engineers, data scientists, analysts, product owners, and business stakeholders.

- Define technical standards, architectural patterns, and best practices for Databricks development.

- Lead performance optimization and cost-management initiatives across the Databricks platform.

- Provide technical leadership and mentoring to data engineering teams.

- Participate in Agile ceremonies and contribute to technical planning and roadmap discussions.

Qualifications

- Strong hands-on experience with Databricks.

- 3-6 years of Experience in Databricks

- Expertise in Lakehouse architecture and Delta Lake.

- Strong PySpark and SQL skills.

- Experience with Unity Catalog and data governance.

- Experience designing enterprise-scale data platforms.

- Strong knowledge of ETL/ELT and data modeling.

- Experience with cloud platforms such as Azure, AWS, or GCP.

- Experience with data integration and orchestration tools.

- Knowledge of CI/CD, Git, and DevOps practices.

- Strong understanding of data security and access control.

- Experience with Agile/Scrum methodologies.