Data Engineer

Nashville, IN - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Data Engineer - Hybrid Opportunity

This is a hybrid position based at our corporate office in Brentwood TN with on-site work required Monday through Wednesday.

This role requires a highly technical Data Engineer with expert-level proficiency in Azure Databricks distributed data pipelines and large-scale healthcare data processing. This role focuses on designing and implementing high-throughput ingestion pipelines transactional lakehouse layers and secure PHI data flows using Azure-native services and Databricks runtime optimizations.

You will build and operate production-grade data pipelines that meet rigorous requirements for security lineage compliance (HIPAA) observability and operational SLAs supporting analytics AI and clinical insights across the organization.

Core Responsibilities

Platform & Architecture

Architect and implement scalable data processing pipelines using:

Databricks Runtime (Apache Spark Spark SQL MLflow Delta Lake)
Delta Lake ACID transactions Z-Ordering OPTIMIZE and Change Data Feed (CDF)
Unity Catalog for governance lineage RBAC and audit controls

Design and enforce a medallion (Bronze/Silver/Gold) architecture with schema evolution Delta Live Tables (DLT) and robust error-handling patterns
Build high-performance ingestion frameworks for:

FHIR and HL7 message streams
X12 837/835 healthcare claims data
EHR/EMR source systems
Batch real-time and event-driven data sources

Azure Cloud Engineering

Develop and operate data pipelines leveraging:

Azure Data Lake Storage Gen2 (hierarchical namespace ACLs POSIX permissions)
Azure Data Factory or Synapse Pipelines (parameterization dynamic pipelines triggers)
Azure Event Hubs and/or Service Bus for streaming ingestion
Azure SQL Database and Azure Synapse (Dedicated and Serverless pools)
Azure Functions for lightweight orchestration and automation
Azure Monitor Log Analytics and Application Insights for observability

Implement enterprise-grade security including:

VNet integration and private endpoints
Secrets and key management using Azure Key Vault
Managed identities and least-privilege access controls

Distributed Data Engineering

Develop optimized PySpark and/or Scala pipelines using advanced Spark techniques:

Catalyst optimizer tuning
Cluster sizing and autoscaling strategies
Adaptive Query Execution (AQE)
Efficient join strategies (broadcast vs. shuffle)

Build and maintain:

High-volume batch ETL pipelines (100M records)
Low-latency streaming pipelines using Spark Structured Streaming

Implement CI/CD for Databricks environments including:

Git-integrated DEV/QA/PROD workspaces
Automated job and workflow deployments
Unit testing using pytest and Databricks testing frameworks

Healthcare Data & Compliance

Design and implement secure PHI pipelines compliant with:

HIPAA Privacy and Security Rules
SOC 2 and HITRUST-aligned controls

Build pipelines supporting healthcare data standards including:

FHIR R4 resources (Patient Encounter Observation Claim etc.)
HL7 v2.x messages (ADT ORU ORM)
X12 EDI transactions (/271)

Ensure end-to-end lineage tracking auditability and data retention across all lakehouse layers

Required Qualifications

5 years of experience in modern data engineering roles
Expert-level proficiency in:

PySpark and Spark SQL
Databricks (Jobs Workflows Repos Delta Live Tables)
Delta Lake architecture and transactional design patterns
Azure Data Factory or Azure Synapse Pipelines
Cloud-native data security (RBAC ABAC privilege boundary enforcement)

Strong experience working with healthcare data formats and standards:

FHIR (JSON)
HL7 v2/v3
X12 EDI claims data

Deep understanding of distributed systems data partitioning strategies concurrency and cluster resource tuning

Preferred Qualifications

Experience implementing Unity Catalog at enterprise scale
Familiarity with MLOps workflows and Databricks MLflow
Experience using dbt with Databricks SQL
Relevant certifications including:
Databricks Data Engineer Professional
Microsoft Azure DP-203
HL7 or FHIR certification (nice to have)

Benefits:

Comprehensive health dental and vision insurance
Health Savings Account with an employer contribution
Life Insurance
PTO
401(k) retirement plan with a company match
And more!

ENVIRONMENTAL/WORKING CONDITIONS: Normal busy office environment with much telephone work. Possible long hours as needed. The description is intended to provide only basic guidelines for meeting job requirements. Responsibilities knowledge skills abilities and working conditions may change as needs evolve.

*If you are viewing this role on a job board such as or LinkedIn please know that pay bands are auto assigned and may not reflect the true pay band within the organization.

*No Recruiters Please

Required Experience:

Data Engineer - Hybrid OpportunityThis is a hybrid position based at our corporate office in Brentwood TN with on-site work required Monday through Wednesday.This role requires a highly technical Data Engineer with expert-level proficiency in Azure Databricks distributed data pipelines and large-sca...