ZipRecruiter

Log In

2

Remote Data Engineer Jobs in Spring Hill, TN (NOW HIRING)

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

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 ...

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

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 ...

Revecore

Senior Data Engineer-JT0224

Franklin, TN · Remote

$102K - $138K/yr

Remote-USA Revecore is embarking on re-architecting and modernizing its core platform. The Data ... The Senior Data Engineer will join the Technology function, solving complex data problems for the ...

Staffing Agency Recruitment

Data Scientist

Franklin, TN · Remote

$125K - $150K/yr

Location: Remote (Nashville, TN strongly preferred) Job-Type: Full-Time Role Overview: We are ... While this role does not require hands-on data engineering responsibilities, it demands close ...

next page

Showing results 1-20

All JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Spring Hill, TN

Remote Data Engineer information

See Spring Hill, TN salary details

$41.8K

$122K

$166.9K

How much do remote data engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote data engineer in Spring Hill, TN is $121,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $129,300.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Spring Hill, TN? The most popular types of Data Engineer jobs in Spring Hill, TN are:
What are popular job titles related to Remote Data Engineer jobs in Spring Hill, TN? For Remote Data Engineer jobs in Spring Hill, TN, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Spring Hill, TN look for? The top searched job categories for Remote Data Engineer jobs in Spring Hill, TN are:
What cities near Spring Hill, TN are hiring for Remote Data Engineer jobs? Cities near Spring Hill, TN with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Spring Hill, TN as of June 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,972 per year, or $58.6 per hour.
Data Engineer - Hybrid / Remote

Data Engineer - Hybrid / Remote

Surgery Partners, Inc

Brentwood, TN • On-site, Remote

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Surgery Partners rating

7.6

Company rating: 7.6 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

188th of 876 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

What Surgery Partners employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply