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Remote Data Engineering Jobs in Tennessee (NOW HIRING)

Surgery Partners

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 ...

Surgery Partners

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 ...

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 ...

First Quality Retail Services

Data Engineer

Afton, TN · On-site +1

$100K - $120K/yr

Bachelor's degree in computer science, Information Technology, Engineering, or a related field. * 3 years of experience in designing and implementing data engineering solutions on-prem/cloud.

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 ... This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning ...

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Remote Data Engineering information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do remote data engineering jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote data engineering in Tennessee is $117,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $124,800.00 per year, depending on experience, location, and employer.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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 (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Tennessee? The most popular types of Data Engineering jobs in Tennessee are:
What are popular job titles related to Remote Data Engineering jobs in Tennessee? For Remote Data Engineering jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Tennessee look for? The top searched job categories for Remote Data Engineering jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Data Engineering jobs? Cities in Tennessee with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Tennessee as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $117,733 per year, or $56.6 per hour.
Manager of Data Engineering & Architecture - Hybrid / Remote

Manager of Data Engineering & Architecture - Hybrid / Remote

Surgery Partners

Brentwood, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Surgery Partners rating

7.6

Company rating: 7.6 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

186th of 873 rated healthcare providers

Job description

  • Hybrid for candidates in Nashville and surrounding areas.
  • Remote option available for candidates outside of surrounding areas.

Key Responsibilities
Leadership & Team Development
  • Lead, mentor, and develop a team of data, architectural engineers across onshore and offshore resources
  • Support workforce planning, hiring, onboarding, coaching, and performance management
  • Foster a culture of accountability, continuous improvement, and technical excellence

Data Platform & Architecture
  • Provide architectural direction for the enterprise data warehouse and data lake, ensuring alignment with healthcare data standards and regulatory requirements (e.g., HIPAA)
  • Design and optimize scalable, secure data pipelines using Azure Databricks, Apache Spark, and Azure-native data services
  • Guide integration of data from multiple healthcare sources, including EMRs, claims systems, and patient portals
  • Ensure solutions are designed for scalability, reliability, cost efficiency, and long-term maintainability

Delivery & Collaboration
  • Partner with clinical, operational, analytics, and IT teams to deliver trusted, self-service data and insights
  • Oversee strategic data initiatives and projects, ensuring alignment with business priorities and organizational goals
  • Promote and institutionalize Agile and iterative development practices within the data engineering organization

Governance, Quality & Compliance
  • Establish and enforce data governance, privacy, security, and quality standards across platforms and pipelines
  • Ensure compliant handling of healthcare data, including PHI, in accordance with HIPAA and internal policies
  • Support data stewardship, documentation, and auditability across the data ecosystem

Innovation & Strategy
  • Stay current with industry trends in data engineering, process automation, cloud platforms, DataOps, and MLOps
  • Identify opportunities to modernize tooling, architecture, and delivery practices to improve outcomes and efficiency
  • Contribute to long-term data and analytics strategy and roadmap development

Required Qualifications
  • Bachelor's or master's degree in computer science, Computer Engineering, Information Systems, or a related field (or equivalent experience)
  • 5+ years of experience in data engineering, automation or related technical roles
  • 3+ years of experience in leadership or people management capacity
  • Strong background in SQL, data modeling, and ETL/ELT development
  • Hands-on experience with Azure Databricks, including:

    • Building Spark-based data pipelines
    • Managing cluster performance and cost optimization
    • Integrating with Azure Data Factory and Azure Data Lake Storage

  • Deep understanding of Azure cloud architecture and healthcare-specific data challenges
  • Proven ability to design and architect data and analytics solutions across project, product, and program levels

Preferred Qualifications
  • Familiarity with healthcare data formats and standards such as HL7, FHIR, and claims data
  • Experience with BI and analytics tools such as Power BI, Tableau, or Sigma
  • Strong communication skills with the ability to collaborate effectively across technical and non-technical stakeholders
  • Experience operating in regulated environments with a focus on security, privacy, and compliance

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
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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