Data Engineer

Data Engineer

Location: Nashville (Remote)

Job Type: Full-Time Contract

Pay Rate: $105/hour

Why This Role Is Open

This role was created as part of an initiative to bring data engineering and analytics capabilities in-house. The organization is transitioning away from an outsourced healthcare analytics platform and investing in a modern data environment built on Databricks and dbt.

About the Role

We are seeking an experienced Data Engineer with strong expertise in Databricks, dbt, SQL, and healthcare data . This individual will help build and optimize scalable data pipelines, transform complex healthcare datasets, and create reliable data assets that support analytics, reporting, and operational decision-making.

The ideal candidate has experience working with large healthcare datasets and enjoys solving complex data challenges in a collaborative environment.

Responsibilities

• Design, build, and maintain scalable data pipelines using Databricks.
• Develop and maintain dbt models to transform raw 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 efficient SQL and Python/PySpark solutions for large-scale datasets.
• Implement data quality testing, monitoring, and validation processes.
• Troubleshoot and resolve complex data issues across source systems and downstream reporting.
• Optimize data pipelines and platform performance for scalability and reliability.
• Collaborate with business, analytics, and technical teams to deliver data solutions.
• Maintain documentation for data models, transformations, and business rules.

Required Qualifications

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

Preferred Qualifications

• Experience working with healthcare data, including:
  • Claims
  • EHR/EMR
  • Eligibility
  • Pharmacy
  • Provider and clinical data
• Experience with healthcare data models and transformation frameworks
• Knowledge of ICD-10, CPT, HCPCS, NDC, LOINC, SNOMED, and NPI
• Experience with FHIR and/or HL7
• Experience with Databricks Delta Lake/Lakehouse architecture
• Experience supporting Power BI or Tableau
• Databricks and/or dbt certifications

By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions.