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Data Engineer Jobs in Oak Ridge, TN (NOW HIRING)

Clayton Homes

Data Engineer

Maryville, TN · On-site

$99K - $119K/yr

Position Summary The Data Engineer role is responsible for designing, building, and maintaining scalable data and semantic layers, implementing robust data quality checks for assigned data products ...

Clayton Homes

Data Engineer

Maryville, TN

$99K - $119K/yr

Position Summary The Data Engineer role is responsible for designing, building, and maintaining scalable data and semantic layers, implementing robust data quality checks for assigned data products ...

Purple Drive Technologies

Azure Databricks

Louisville, TN · On-site

$50.50 - $62.75/hr

Data Engineer/ Azure Databricks Location: Louisville, TN Roles & Responsibilities • Build and optimize large-scale data pipelines in Azure Databricks to ingest, process, and persist medical images ...

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All JobsData Engineer JobsData Engineer Jobs in Oak Ridge, TN

Data Engineer information

See Oak Ridge, TN salary details

$38.6K

$112.5K

$154K

How much do data engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data engineer in Oak Ridge, TN is $112,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $119,300.00 per year, depending on experience, location, and employer.

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.

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.

What are Data Engineers?

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.

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.
More about Data Engineer jobs
What cities near Oak Ridge, TN are hiring for Data Engineer jobs? Cities near Oak Ridge, TN with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Oak Ridge, TN as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $112,541 per year, or $54.1 per hour.

Data Engineer

Clayton Homes

Maryville, TN • On-site

$99K - $119K/yr

Full-time

Posted 17 days ago

Clayton Homes rating

6.9

Company rating: 6.9 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

55th of 78 rated construction

Job description

Position Summary
The Data Engineer role is responsible for designing, building, and maintaining scalable data and semantic layers, implementing robust data quality checks for assigned data products, and enabling business-ready data for stakeholder needs across analytics, reporting, and AI products. The position requires strong technical expertise and solid business acumen. In addition, this role delivers high-performing, automated dashboard suites that empower data-driven decision-making service analytics, and delivers high-performing, automated dashboard suites that empower data-driven decision making.
About The Team
The Enterprise Data Analytics, Engineering, and Governance team is looking for an Data Engineer to serve the Retail business unit inside Clayton. This role will work closely with stakeholders in the business to provide automated data products in the Sales, Inventory, Customer Satisfaction, Operations, and Acquisitions space.
Primary Qualifications
  • Develops curated and modeled data within the platform's semantic layer to support self-service data products for the assigned domain.
  • Applies dimensional modeling, semantic-layer design principles, and business logic to create accurate, performant, and stakeholder aligned datasets.
  • Prototypes new data products-such as dashboard suites, drag-and-drop self-service experiences, or simplified Lakehouse tables-to enable customer feedback and iteration prior to production deployment. -and-drop self-service experiences, or simplified lakehouse tables-to enable customer feedback and iteration prior to production deployment.
  • Develops data-quality checks and reporting to monitor critical data elements for all assigned data products, ensuring trust and reliability in business-facing outputs.

Desired Skills
  • Excellent verbal and written communication
  • Strong knowledge of SQL
  • Strong knowledge of data design, data modeling, and semantic layer modeling.
  • Experience using Tableau, PowerBI, and/or SSRS is highly preferred
  • Experience using Python for data modeling or programming preferred
  • Experience with version control/Git preferred
  • Cloud platform knowledge preferred
  • Working knowledge of CI/CD for data workflows
  • Proven analytical and problem-solving skills including the ability to think outside of the box
  • Must work as part of the team while capable of completing individual assignments
  • Practical understanding of business fundamentals including Accounting and Finance
  • Comfortable communicating with all levels of the organization
  • Self-motivated with the capability to meet deadlines on overlapping projects
  • Sound ethical judgment and the ability to be trusted to work with sensitive information
  • Ability to operate without direct oversight
  • Bachelor's Degree in Information Management, Business Analytics, Computer Science, Statistics or equivalent formal training and work experience

About Clayton Homes
Founded in 1956, Clayton is committed to Opening Doors to a Better Life and Building Happyness® through homeownership. Today, we build, sell, finance and insure quality homes for people across America. We're dedicated to offering attainable housing, developing sustainable practices, and creating a world-class experience for both our customers and team members. To learn more about Clayton Homes, go to: https://www.claytonhomes.com
Why Clayton?
Clayton is a leading single-family, values-driven home builder dedicated to attainable housing, sustainable practices and creating a world-class experience for customers and team members. Quarterly profit share bonus program. Onsite gym with variety of classes, wellness, professional and personal development programs and much more! Clayton is committed to creating an inclusive workplace.
Clayton is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Why Clayton?
Clayton is a leading single-family, values-driven home builder dedicated to attainable housing, sustainable practices and creating a world-class experience for customers and team members. Quarterly profit share bonus program. Onsite gym with variety of classes, wellness, professional and personal development programs and much more! Clayton is committed to creating an inclusive workplace. Clayton is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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