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Data Engineer Jobs in Chattanooga, TN (NOW HIRING)

Data Engineer II

Chattanooga, TN ยท On-site +1

$90K - $110K/hr

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 ...

The Manager, Data Engineering leads a team responsible for designing and delivering scalable data pipelines, warehouse solutions, and governed data assets that support Finance analytics, operational ...

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Programming & Process automation: Experience with file I/O, database integrations, and APIs to ... Data Visualization: Expertise on at least one visualization tool with working knowledge of others ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

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Data Engineer information

See Chattanooga, TN salary details

$40.5K

$118.1K

$161.6K

How much do data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data engineer in Chattanooga, TN is $118,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $125,200.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

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 Data Engineer jobs in Chattanooga, TN?

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

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

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

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

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

Infographic showing various Data Engineer job openings in Chattanooga, TN as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 94% In-person, and 6% 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 โ€ข 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 holidaysโ€”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.