Data Engineer - Hybrid / Remote

Data Engineer - Hybrid / Remote Opportunity

Hybrid for candidates in Nashville and surrounding areas.

Remote option available for candidates outside of surrounding areas. 

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 (837, 835, 270/271)

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 Indeed.com or LinkedIn, please know that pay bands are auto assigned and may not reflect the true pay band within the organization.

*No Recruiters Please