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Remote Data Engineer Jobs in Chattanooga, TN (NOW HIRING)

Unum UK

Data Scientist II - CX Analytics

Chattanooga, TN · On-site +1

... Engineers to ensure analyses are grounded in reliable data and effectively operationalized. The ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

ABB

Strategic Segment Proposal Engineer

Calhoun, TN · Remote

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

ABB

Strategic Segment Proposal Engineer

Harrison, TN · Remote

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Chattanooga, TN

Remote Data Engineer information

See Chattanooga, TN salary details

$38.2K

$111.3K

$152.3K

How much do remote data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote data engineer in Chattanooga, TN is $111,264.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $117,900.00 per year, depending on experience, location, and employer.

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 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.

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.

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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Chattanooga, TN?

The most popular types of Data Engineer jobs in Chattanooga, TN are:

What are popular job titles related to Remote Data Engineer jobs in Chattanooga, TN?

For Remote Data Engineer jobs in Chattanooga, TN, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Chattanooga, TN look for?

The top searched job categories for Remote Data Engineer jobs in Chattanooga, TN are:

What cities near Chattanooga, TN are hiring for Remote Data Engineer jobs?

Cities near Chattanooga, TN with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Chattanooga, TN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,110 per year, or $56.8 per hour.

Data Engineer II

Transport Enterprise Leasing

Chattanooga, TN • On-site, Remote

$90K - $110K/hr

Full-time

Life, Retirement, PTO

Posted 5 days ago

Job description

Data Engineer II
Location: Chattanooga, TN
Schedule: Hybrid | 4 Days Onsite, 1 Day Remote
TEL is a growing transportation and equipment leasing company committed to innovation, operational excellence, and delivering exceptional service to our customers. Technology and data play a critical role in driving our business forward, and we are looking for talented professionals who are excited about leveraging data to create meaningful business impact.
We are seeking a motivated and skilled Data Engineer to join our growing technology team! In this role, you will help design, develop, and maintain data solutions that support business intelligence, reporting, analytics, and operational decision-making across the organization.
What You'll Do
  • Develop, maintain, and optimize ETL pipelines that integrate data from multiple internal and external sources.
  • Build scalable and efficient solutions for data processing, transformation, and storage.
  • Partner with business stakeholders and cross-functional teams to gather requirements and deliver data-driven solutions.
  • Support the development and maintenance of dashboards, reports, and visualizations that provide actionable business insights.
  • Validate, monitor, and maintain data quality throughout the data lifecycle.
  • Troubleshoot and resolve data pipeline and performance issues to ensure reliability and efficiency.
  • Work with APIs and third-party systems to support seamless data integration.
  • Contribute to documentation, best practices, and knowledge-sharing initiatives across the team.
  • Stay current on emerging technologies, tools, and trends in data engineering, analytics, and artificial intelligence.
What We're Looking For
The ideal candidate will have experience building and maintaining ETL pipelines, working with cloud-based data platforms, and creating scalable solutions that transform complex data into actionable insights. You will collaborate with stakeholders across multiple departments to ensure data accessibility, reliability, and quality while contributing to user-facing dashboards and reporting solutions.
  • Experience developing and maintaining ETL pipelines using tools such as Databricks, Apache Spark, Airflow, or similar technologies.
  • Proficiency in SQL and Python for data transformation, automation, and analysis.
  • Strong understanding of data warehousing concepts, relational databases, and data modeling principles.
  • Experience with business intelligence and visualization platforms such as Tableau or Power BI.
  • Familiarity with Continuous Integration/Continuous Deployment (CI/CD) practices in a data environment.
  • Working knowledge of cloud platforms, with a preference for Microsoft Azure technologies.
  • Understanding of Artificial Intelligence (AI), Generative AI, and Machine Learning concepts, including leveraging AI-powered tools to improve analytics, automation, reporting, and operational efficiency.
  • Experience integrating data through APIs and external system connections.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration skills with the ability to work effectively across technical and non-technical teams.
  • Detail-oriented with a commitment to delivering accurate, high-quality solutions.
Education and Experience
  • Bachelor's degree or higher in Computer Science, Engineering, Information Systems, or a related field.
  • 2-4 years of experience as a Data Engineer or in a similar data-focused technical role.
  • Experience working within cloud-based data environments and modern analytics platforms preferred.
Annual salary range: $90,000 - $110,000, based on experience, technical skills, and overall qualifications.
Why Join TEL?
At TEL, you'll have the opportunity to work on meaningful projects that directly impact business performance and strategic decision-making. You'll collaborate with a talented team, contribute to innovative technology initiatives, and help shape the future of data and analytics within a growing organization.
Join Transport Enterprise Leasing and enjoy a comprehensive benefits package tailored to your career:
  • Paid time off (PTO) to help you balance work and life
  • Paid holidays—including your birthday and a floating holiday
  • Paid family leave for eligible employees
  • Veterans receive a paid day off on Veterans Day
  • 401(k) retirement savings plan with employer match
  • Retirement Pay Program for long-term financial security
  • Years of Service cash incentive to recognize your dedication
  • Financial wellness program for your financial growth
  • Education Reimbursement Program to support your professional development
Ready to build solutions that turn data into business value? Apply today and become part of the TEL team!

Equal Opportunity Employer
Transport Enterprise Leasing is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic as defined by applicable laws. We also proudly support and encourage applications from veterans.

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