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Remote Data Warehouse Jobs in Tennessee (NOW HIRING)

Senior Data Engineer

Franklin, TN · Remote

$102K - $138K/yr

Remote-USA Revecore is embarking on re-architecting and modernizing its core platform. The Data ... Monitor data systems and performance and look for ways to drive down our warehouse and ...

Remote candidates will not be considered. Responsibilities for the FP&A Systems Manager Own ... Familiarity with ERP or data warehouse integration, preferred Knowledge, Skills, and Abilities of ...

Marketing Operations Engineer - REMOTE

Franklin, TN · Remote

$68K - $92K/yr

... e.g., CRM, data warehouse) using APIs, webhooks, and native connectors. * Analyze account and ... Ability to work at a computer for extended periods; standard office or remote work environment * A ...

Marketing Operations Engineer - REMOTE

Franklin, TN · Remote

$68K - $92K/yr

... e.g., CRM, data warehouse) using APIs, webhooks, and native connectors. * Analyze account and ... Ability to work at a computer for extended periods; standard office or remote work environment * A ...

This is a REMOTE role. Please note: We are unable to sponsor work authorization now or in the ... Develop scripts or queries (e.g., SQL) to streamline log analysis, system diagnostics, or data ...

Pre-Sales Leader

Nashville, TN · On-site +1

$100K - $175K/yr

Near Nashville, TN (Remote/Hybrid within the United States) Compensation: $100,000 - $175,000 Base ... Data warehouses * ETL pipelines * Analytics platforms * Understanding of: * Star schema design

Pre-Sales Leader

Nashville, TN · On-site +1

$100K - $175K/yr

Near Nashville, TN (Remote/Hybrid within the United States) Compensation: $100,000 - $175,000 Base ... Data warehouses * ETL pipelines * Analytics platforms * Understanding of: * Star schema design

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Remote Data Warehouse information

See Tennessee salary details

$11

$51

$83

How much do remote data warehouse jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote data warehouse in Tennessee is $51.45, according to ZipRecruiter salary data. Most workers in this role earn between $38.82 and $63.08 per hour, depending on experience, location, and employer.

What is a remote data warehouse?

A Remote Data Warehouse job involves designing, managing, and optimizing large-scale data storage systems for businesses, all while working remotely. Professionals in this role develop ETL processes, ensure data integrity, and enhance performance for analytics and reporting. They collaborate with data engineers, analysts, and business teams using cloud-based or on-premises solutions. Strong SQL, cloud computing, and data modeling skills are essential for success in this role.

What does a typical workday look like for someone in a remote data warehouse position?

A typical day in a Remote Data Warehouse role involves designing and maintaining data pipelines, troubleshooting data quality issues, writing and optimizing complex SQL queries, and collaborating with data analysts, engineers, and business stakeholders through virtual meetings. You may spend time automating ETL processes, documenting data architecture, and ensuring performance and security of large datasets. Communication and project management occur primarily through digital tools like Slack, Jira, or Trello. This remote structure provides flexibility while requiring strong self-management and proactive communication to succeed in a globally distributed environment.

What are the key skills and qualifications needed to thrive in the remote data warehouse position?

To excel in a Remote Data Warehouse role, you need strong expertise in data modeling, ETL (Extract, Transform, Load) processes, and proficiency with database management systems such as SQL, Snowflake, or Amazon Redshift, typically supported by a relevant degree in computer science or information systems. Experience with cloud data platforms, data integration tools, and certifications like AWS Certified Data Analytics or Microsoft Certified: Azure Data Engineer Associate are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are essential, especially when collaborating across distributed teams. These competencies ensure efficient data management, enable seamless remote collaboration, and drive successful data-driven decision-making for organizations.

What are the most commonly searched types of Data Warehouse jobs in Tennessee?

The most popular types of Data Warehouse jobs in Tennessee are:

What are popular job titles related to Remote Data Warehouse jobs in Tennessee?

For Remote Data Warehouse jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Remote Data Warehouse jobs in Tennessee look for?

The top searched job categories for Remote Data Warehouse jobs in Tennessee are:

What cities in Tennessee are hiring for Remote Data Warehouse jobs?

Cities in Tennessee with the most Remote Data Warehouse job openings:

Infographic showing various Remote Data Warehouse job openings in Tennessee as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $107,018 per year, or $51.5 per hour.

Senior Data Engineer

Revecore

Franklin, TN • Remote

$102K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Revecore rating

8.1

Company rating: 8.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Start your next chapter atRevecore! For over 25 years,Revecorehas been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities.We'repowered by people, driven by technology, and dedicated to our clients and employees. Ifyou'relooking for a collaborative and diverse culture witha great work/life balance, look no further.

RevecorePerks:

  • We offer paid training and incentive plans
  • Our medical, dental, vision, and life insurance benefits are available from the first day of employment
  • We enjoy excellent work/life balance
  • Our Employee Resource Groups build community and foster a culture of belonging and inclusion
  • We match 401(k) contributions
  • We offer career growth opportunities
  • We celebrate 12 paid holidays and generous paid time off

Location:Remote-USA

Revecore is embarking on re-architecting and modernizing its core platform. The Data Technology at Revecore is empowering the business in unlocking new opportunities by integrating data and machine learning across our products and business functions. This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning (ML) Engineering specializations.

The Senior Data Engineer will join the Technology function, solving complex data problems for the Revecore Data Platform. The ideal candidate is capable of contributing to platform, architecture, and automation best practices, while also diving deep into specific areas and finding the best path forward. You are expected to pave the path for the data teams around data ingestion, data pipelines and data operations. You will be responsible for building a modern data lakehouse platform that will transform Revecore and its capabilities.

What You'll Do

  • Accountable for the implementation and quality of the data platforms (availability, reliability, resilience, security, etc.) and adherence to consistent standards for engineering excellence.
  • Improve the quality of the engineering practice, and the quality of the domain's output.
  • Design and develop scalable, maintainable, and reliable data pipelines.
  • Work directly with other Data Engineers to understand their needs and develop tooling and automation to improve developer efficiency.
  • Monitor data systems and performance and look for ways to drive down our warehouse and infrastructure costs.
  • Proactively research and understand industry trends on various components of the data platform.

Technical Requirements

  • Strong experience with Azure Cloud services is required, including hands-on work with Azure Synapse, Azure Data Lake Storage Gen2, Azure DevOps Pipelines, and Power BI.
  • Proven ability to design and build scalable ELT pipelines, data lakes, and data warehouse solutions using modern tools such as Snowflake, dbt, and Airflow.
  • Deep expertise in Python and SQL is required.
  • Strong proficiency in C#, with experience maintaining and enhancing complex, homegrown codebases used for data orchestration, transformation, file movement, and delivery. Familiarity with .NET Framework and .NET Core is essential.
  • Ability to bridge legacy systems with modern cloud-native architectures, contributing to platform modernization efforts.
  • Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and CI/CD best practices for data platforms.
  • Solid understanding of the data software development lifecycle (SDLC) and deployment automation workflows.
  • Bachelor's or Master's degree in computer science or equivalent experience.

Work at Home Requirements:

  • A quiet, distraction-free environment to workfrom inyour home.
  • A secure internet connection isrequired.
  • Home internet with speeds >20 Mbps for downloads and >10 Mbps for uploads.
  • The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.

Revecoreis an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.
We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.

Mustresidein the United Stateswithin one of the states listed below:

Alabama, Arkansas, Delaware, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin, and West Virginia


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