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Remote Data Engineering Jobs in Tennessee (NOW HIRING)

Software Engineering Advisor - eviCore

Franklin, TN · Remote

$113K - $135K/yr

Drive data innovation that powers smarter healthcare decisions. As a Software Engineering Advisor, you will play a critical role in building and optimizing scalable data solutions that enable ...

Senior Applied AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

You will work closely with data engineering and business teams to deliver scalable, intelligent ... This position's work style is remote from any of the locations listed below. You must reside in ...

Senior Applied AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

You will work closely with data engineering and business teams to deliver scalable, intelligent ... This position's work style is remote from any of the locations listed below. You must reside in ...

Senior Applied AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

You will work closely with data engineering and business teams to deliver scalable, intelligent ... This position's work style is remote from any of the locations listed below. You must reside in ...

Manage the on account service center, security, data management and EHS managers and teams Actively ... Remote + up to 25% travel This position does not provide visa sponsorship. Candidates must be ...

Senior Product Analyst

Nashville, TN · On-site +1

$120K - $140K/yr

Remote - USA Reporting To: Principal Data Scientist Compensation: $120,000 - $140,000 / year ... Collaborate with Engineering, Product, and Design during feature discovery to define tracking ...

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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 Jul 15, 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.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

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 engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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 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:
Vice President of Strategy and Data Analytics - Hybrid / Remote

Vice President of Strategy and Data Analytics - Hybrid / Remote

Surgery Partners

Brentwood, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Surgery Partners rating

7.6

Company rating: 7.6 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

191st of 885 rated healthcare providers


Job description

Vice President of Strategy and Data Analytics

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

Vice President of Strategy and Data Analytics will play a pivotal role in shaping the future of our organization.
This executive will work directly with C-Suite leaders across the enterprise to drive transformation, accelerate
growth, and deliver measurable results.

This role leads two critical functions:

Strategy – Setting enterprise strategy and managing the annual cycle of facility-level growth strategic planning.

Data Analytics – Driving excellence in analytics to enable data-informed decision-making and operational
performance.

The VP will oversee an existing high-performing team with the opportunity to build out the team and shape the
agenda, ensuring analytics and strategy are tightly integrated to support business objectives.

DUTIES AND RESPONSIBILITIES
Strategy

  • Lead strategy team to help set 2030 enterprise-level strategy to support long-term company
    growth and market leadership. Manage creation of actionable company-wide annual goals to
    drive organizational transformation in key areas. Support tracking of execution towards goals
    and reporting to senior leadership.
  • Support management of the annual strategic planning cycle to drive facility-level growth
    initiatives and synthesis of themes, opportunities and risks to senior management and Board
    audiences. Create enterprise-wide tracking of execution of growth plays. Manage the portfolio
    evaluation process for assets.
  • Deliver facility-level strategy sessions with facility leadership and physician partners to define
    and align on 3-year growth plans
  • Support operations on key strategic market and operational data requests to help answer
    strategic questions. Partner with C-Suite executives to identify,


Data Analytics Leadership

  • Lead a burgeoning analytics team responsible for working with operations, finance, clinical and
    other leaders to set a strategic vision for integrating data insights to drive core business
    operations
  • Build analytical tools.
  • Foster and promote a culture of data-driven decision-making across the organization.
  • Oversee data governance, development and management of enterprise data definitions,
    standards and data quality.
  • Drive ideation, build and adoption of analytics tools and capabilities across the enterprise to
    enable rapid insights and drive operational excellence, performance measurement, and
    predictive forecasting
  • Collaborate with the data engineering team to onboard new data sets, expanding the
    organization’s data capabilities and enabling incremental insights.
  • Implement advanced analytics frameworks including AI and predictive modeling to support
    strategic, financial and operational goals.


Team Development

  • Lead and mentor a team spanning strategy and data analytics and architect an integrated
    operating model between these two teams as they serve the broader organization.
  • Coach and mentor colleagues to develop skills and build their careers.
  • Build organizational capabilities by expanding the team and shaping its future direction.
  • Create a culture across the organization of data exploration, strategic thinking, and disciplined
    execution.


Executive Collaboration

  • Serve as a trusted advisor to senior leadership and the Board.
  • Translate complex data and strategic insights into actionable recommendations.


EDUCATION

  • Master of Business Administration (MBA), Master of Public Health (MPH), or a related master’s degree in data
    analytics.

EXPERIENCE

  • Minimum 10 years of progressive experience in strategy and analytics, including leadership roles.
  • Consulting Background: Prior experience in management consulting with a top-rated firm strongly preferred.
  • Healthcare Services: Experience in healthcare services and deep experience with healthcare data and analytics
    solutions required.


KNOWLEDGE/SKILLS/ABILITIES

  • Exceptional strategic thinking, vision-setting and problem-solving skills.
  • Strong leadership and team-building capabilities.
  • Expertise in data analytics tools and methodologies.
  • Excellent cross-organizational communication and executive presence

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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