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Remote Engineering Jobs in Tennessee (NOW HIRING)

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Remote option available for candidates outside of surrounding areas. This role requires a highly ... Batch, real-time, and event-driven data sources Azure Cloud Engineering * Develop and operate data ...

Senior-Level Process Engineer (Hybrid/Remote)

Oak Ridge, TN · On-site +1

$99K - $128K/yr

Senior-Level Process Engineer (Hybrid/Remote) Description: As a senior-level process engineer, you ... Engineering calculations * Process flow diagrams (PFDs) * Piping and instrumentation diagrams (P ...

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Remote option available for candidates outside of surrounding areas. This role requires a highly ... Batch, real-time, and event-driven data sources Azure Cloud Engineering * Develop and operate data ...

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Remote Engineering information

See Tennessee salary details

$29.5K

$57.2K

$86.7K

How much do remote engineering jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote engineering in Tennessee is $57,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,700.00 and $65,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Engineer, and why are they important?

To thrive as a Remote Engineer, you need strong technical expertise in your engineering discipline, a relevant degree, and experience with distributed systems or remote collaboration. Familiarity with tools such as Git, cloud platforms (e.g., AWS, Azure), and team communication software like Slack or Zoom is typically required. Excellent self-motivation, time management, and clear written communication distinguish top performers in remote settings. These skills and qualities are crucial for delivering high-quality engineering solutions and maintaining productivity while collaborating with geographically dispersed teams.

What is remote engineering?

Remote engineering refers to engineering work that is performed outside of a traditional office or job site, typically from home or another remote location. Remote engineers use digital tools and communication platforms to collaborate with teams, design systems, write code, or manage projects from anywhere in the world. This work arrangement allows for greater flexibility and can help companies access a wider pool of talent. However, it also requires strong communication skills and self-discipline to maintain productivity and teamwork.

How do remote engineering teams typically coordinate and communicate to ensure project success?

Remote engineering teams commonly use a combination of collaboration tools like Slack, Jira, and GitHub to stay connected and manage projects efficiently. Regular virtual stand-ups, sprint planning meetings, and code reviews help maintain alignment and transparency among team members. Clear documentation and proactive communication are essential to overcome time zone differences and prevent misunderstandings. Most teams also establish shared coding standards and utilize version control to streamline contributions from multiple engineers working remotely.

What is the difference between Remote Engineering vs Remote Software Developer?

AspectRemote EngineeringRemote Software Developer
Required CredentialsBachelor's in Engineering, relevant certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentDesign, testing, and overseeing engineering projects remotelyWriting, testing, and deploying software remotely
Employer & Industry UsageEngineering firms, manufacturing, infrastructureTech companies, startups, software firms
Search & Comparison IntentUnderstanding engineering roles vs software roles remotely

Remote Engineering involves designing and managing engineering projects remotely, often requiring technical certifications and a background in engineering disciplines. Remote Software Developers focus on coding and software deployment from a remote location, typically with programming certifications. While both roles can be performed remotely, Remote Engineering emphasizes project oversight and technical engineering tasks, whereas Remote Software Development centers on software creation and maintenance.

What are the most commonly searched types of Engineering jobs in Tennessee? The most popular types of Engineering jobs in Tennessee are:
What are popular job titles related to Remote Engineering jobs in Tennessee? For Remote Engineering jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Remote Engineering jobs? Cities in Tennessee with the most Remote Engineering job openings:
Infographic showing various Remote Engineering job openings in Tennessee as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $57,159 per year, or $27.5 per hour.
Data Engineer - Hybrid / Remote

Data Engineer - Hybrid / Remote

Surgery Partners

Brentwood, TN • On-site, Remote

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Surgery Partners rating

7.6

Company rating: 7.6 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

191st of 882 rated healthcare providers


Job description

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


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