Databricks Data Engineer - Healthcare Analytics (Remote)

Vaco Recruiter Services; Nashville (TN); On-site; USD 145,000 - 152,000; Full time

Job summary

Vaco Recruiter Services is seeking a Data Engineer in Nashville (Remote) to design, build, and optimize scalable data pipelines using Databricks and dbt. You will transform healthcare datasets, implement data quality, and collaborate with analytics and technical teams to enable reporting and operational decisions.

The role requires 5+ years in data engineering, strong SQL and Python/PySpark skills, and experience with modern data warehouse/lakehouse architectures.

Qualifications

• 5+ years of Data Engineering experience.
• Hands-on Databricks experience.
• Strong dbt experience.
• Advanced SQL skills.
• Experience building production ETL/ELT pipelines.
• Experience with Python and/or PySpark.
• Strong data modeling and modern data warehouse/lakehouse knowledge.
• Git and software development practices.
• Strong troubleshooting and problem-solving skills.

Responsibilities

• Design, build, and maintain scalable data pipelines using Databricks.
• Develop dbt models to transform data into analytics-ready datasets.
• Build and support ETL/ELT processes and automated workflows.
• Integrate data from multiple healthcare and operational systems.
• Create reusable data models and curated datasets for reporting and analytics.
• Develop SQL and Python/PySpark solutions for large datasets.
• Implement data quality testing, monitoring, and validation.
• Troubleshoot data issues across source systems and reporting.
• Optimize pipelines for scalability and reliability.
• Collaborate with business, analytics, and technical teams.

Skills

Databricks

dbt

SQL

Python

PySpark

Data pipelines

ETL/ELT

Data modeling

Git

Tools

Databricks

dbt

Power BI

Tableau

Job description

Vaco Recruiter Services is seeking a Data Engineer in Nashville (Remote) to design, build, and optimize scalable data pipelines using Databricks and dbt. You will transform healthcare datasets, implement data quality, and collaborate with analytics and technical teams to enable reporting and operational decisions.

The role requires 5+ years in data engineering, strong SQL and Python/PySpark skills, and experience with modern data warehouse/lakehouse architectures.