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

Patriot Talent Solutions

Data Scientist

Maryville, TN · On-site

Present results in a way that's clear, structured, and actionable for senior audiences Data Work (SQL) + Partnering with Data/Engineering * Develop and tune advanced SQL for large, complex datasets

eShipping, LLC

Lead Analytics Engineer

Knoxville, TN · Remote

$80K - $115K/yr

Position Summary The Lead Analytics Engineer serves as the primary analytics resource embedded within the Solutions team, bridging the gap between complex data systems and business decision-making.

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Sedgwick

Principal Data Scientist

Knoxville, TN · On-site

Partner with AI Engineering teams to productionize models and integrate them into enterprise AI ... Evaluate external data sources and third-party analytical solutions that enhance predictive ...

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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 Jul 2, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications 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. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,541 per year, or $54.1 per hour.
Junior API Developer (RESTful APIs)

Junior API Developer (RESTful APIs)

SynergisticIT

Knoxville, TN • On-site

$63K - $83K/yr

Other

Posted 21 days ago

Job description

For 15 years SynergisticIT has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients.
Please see the below links to know more about Synergisticit and some useful tips
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
We regularly interact with the Top Tech companies to give our candidates a competitive advantage.
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.
Who Should Apply? Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We need Data Science/Data Engineers /Data Analyst and Java Full stack candidates
Preferred SKILLS For Java /Full stack/Devops Positions
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Knowledge of Core Java , javascript , C++ or software programming
Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience
For data Science/Data Analyst/Data Engineer/AI/Machine learning Positions
Preferred SKILLS
Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude
Knowledge of Statistics, Snowflake, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools
Candidates lacking technical skills can research our other programs which can assist in landing a Job
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates

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