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No Experience Data Engineer Jobs in Tennessee (NOW HIRING)

Oak Ridge National Laboratory

Data Engineer

Farragut, TN · On-site

$100K - $120K/yr

Experience processing and analyzing large, complex datasets, including imagery, geospatial data ... engineering, applied mathematics, or a related discipline. * Experience with image processing ...

Oak Ridge National Laboratory

Data Engineer

Oak Ridge, TN · On-site

$109K - $131K/yr

Experience processing and analyzing large, complex datasets, including imagery, geospatial data ... engineering, applied mathematics, or a related discipline. * Experience with image processing ...

Oak Ridge National Laboratory

Data Engineer

Oak Ridge, TN · On-site

$90 - $130/hr

Experience processing and analyzing large, complex datasets, including imagery, geospatial data ... engineering, applied mathematics, or a related discipline. * Experience with image processing ...

First Quality Retail Services

Data Engineer

Afton, TN · On-site +1

$100K - $120K/yr

We are seeking a Data Engineer for our First Quality Enterprises, LLC working remotely from the ... Prior experience in the Manufacturing Industry preferred. * Proficiency in SQL and Python. * Strong ...

Vaco LLC

Data Engineer

Brentwood, TN · On-site

$58/hr

Google BigQuery Teradata Oracle Microsoft SQL Server Experience with Python, PowerShell, SSIS, or similar data engineering tools Experience with data warehousing, data modeling, and data structures ...

CereCore

Data Engineer

Nashville, TN

$110K - $132K/yr

Contract Contract Length: 12-months Position Summary The Data Engineer as part of the Data ... Specific expertise/experience in data acquisition, data cleansing, parsing, validation ...

Medisolv, Inc

$99K - $119K/yr

What You Bring • 4-7+ years of experience in data engineering, data analysis, or a hybrid role. • Strong proficiency in SQL and experience working with large, complex datasets. • Hands-on ...

Keylent Inc

Data Engineer/Admin

Franklin, TN · On-site

$55 - $72.75/hr

Responsibilities : • Hands on experience on Hadoop /Big Data related technology experience in Storage, Querying, Processing, and analysis of data. • Strong knowledge on Pyspark programming and ...

Oracle

Principal Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

As a Data Engineer at Oracle OCI, you will play a crucial role in providing data-driven decision ... Mentors less experienced team members to identify data requirements and business objectives of a ...

Oracle Corporation

Principal Data Engineer

Nashville, TN

$110K - $132K/yr

As a Data Engineer at Oracle OCI, you will play a crucial role in providing data-driven decision ... Mentors less experienced team members to identify data requirements and business objectives of a ...

Oracle

Principal Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

As a Data Engineer at Oracle OCI, you will play a crucial role in providing data-driven decision ... Mentors less experienced team members to identify data requirements and business objectives of a ...

Pure Magic

Full Stack Data Engineer

Alcoa, TN · On-site

With roughly three years of professional experience, you will partner with senior engineers and business stakeholders to deliver production-grade data products from ingestion through insight.

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All JobsData Engineer JobsNo Experience Data Engineer JobsNo Experience Data Engineer Jobs in Tennessee

No Experience Data Engineer information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do no experience data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for no experience data engineer in Tennessee is $117,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $124,800.00 per year, depending on experience, location, and employer.

What is a no experience data engineer?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

What skills and qualifications are needed to thrive as a no experience data engineer?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.

How can entry-level data engineers quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

What is the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

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

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

What are popular job titles related to No Experience Data Engineer jobs in Tennessee?

For No Experience Data Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching No Experience Data Engineer jobs in Tennessee look for?

The top searched job categories for No Experience Data Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for No Experience Data Engineer jobs?

Cities in Tennessee with the most No Experience Data Engineer job openings:

No Experience Data Engineer jobs near you
Infographic showing various No Experience Data Engineer job openings in Tennessee as of August 2026, with employment types broken down into 79% Full Time, 14% Part Time, and 7% Contract. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $117,733 per year, or $56.6 per hour.

Data Engineer

Oak Ridge National Laboratory

Farragut, TN • On-site

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

15th of 121 rated laboratories

Job description

Requisition Id 16994
Overview:
The Geospatial Science & Engineering Division (GSED), of the National Security Sciences Directorate (NSSD), is seeking a highly motivated Data Engineer to support the automation of image processing and data science workflows in a classified environment. This position will contribute to the development of scalable analytic pipelines, automated exploitation tools, and reproducible computational workflows that improve the processing, integration, and interpretation of imagery, geospatial, and operational datasets.
The successful candidate will assess research and operational needs and develop more complex data science solutions that advance organizational objectives. This role will conduct sophisticated analyses, integrate methodologies, and interpret outcomes to support innovation and improve efficiency. The selected individual will define systems and processes that enhance accuracy, scalability, security, and reproducibility of results across projects.
This position requires a strong background in image processing, data engineering, workflow automation, geospatial data systems, and applied analytics, along with experience working in secure mission environments. The ideal candidate will be capable of translating complex datasets into actionable insights through dashboards, reports, technical artifacts, and user-facing tools, while supporting both research and operational objectives.
Major Duties/Responsibilities:
  • Develop and automate image processing and data science workflows that support mission-driven analysis in classified environments.
  • Design, implement, and maintain scalable pipelines for ingesting, cleaning, transforming, integrating, and analyzing imagery, geospatial, and structured operational data.
  • Assess data science project requirements and determine appropriate methods, tools, and technologies for workflow automation, image exploitation, and analytic delivery.
  • Define systems and processes that ensure data integrity, scalability, auditability, and reproducibility of results across projects.
  • Build and optimize data models, schemas, and databases that improve data quality, usability, and interoperability across systems.
  • Support the automation of preprocessing, feature extraction, metadata exploitation, validation, and quality control for image and geospatial datasets.
  • Deliver project results and confer with peers and stakeholders to ensure alignment with research, operational, and sponsor objectives.
  • Contribute to dashboards, technical documentation, reports, software prototypes, briefings, and other artifacts that communicate methods and findings.
  • Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success.

Basic Qualifications:
  • BS degree in computer science or a related field, and two years of relevant experience data science, image processing, geospatial analysis, data engineering, software engineering, or a related field. An equivalent combination of education and experience may be considered.
  • Demonstrated experience designing and implementing end-to-end data systems or automated analytical workflows.
  • Experience processing and analyzing large, complex datasets, including imagery, geospatial data, and operational or mission-relevant data sources.
  • Experience with Python, SQL, and common libraries/frameworks for data analysis, workflow automation, and image or geospatial data processing.
  • Experience with relational databases, data modeling, ETL pipelines, and data wrangling to support scalable and reliable analytical workflows.
  • Experience translating analytical outputs into dashboards, reports, visualizations, or briefings for technical and non-technical stakeholders.
  • Demonstrated ability to develop and apply data science methods to improve efficiency, accessibility, and decision-making.
  • Experience working in secure or classified environments with strong attention to compliance, auditability, and proper data handling practices.
  • Strong written and oral communication skills and the ability to collaborate effectively on multidisciplinary teams.
  • Ability to work independently, plan and arrange own work, and coordinate with management to prioritize projects.

Preferred Qualifications:
  • BS degree in data science, computer science, geospatial science, remote sensing, engineering, applied mathematics, or a related discipline.
  • Experience with image processing, imagery analysis, computer vision, or geospatial exploitation workflows involving satellite imagery, full-motion video, or related sensor data.
  • Experience with ArcGIS Pro, ArcGIS Enterprise, PostGIS, GeoPandas, or other geospatial analytics and visualization tools.
  • Experience developing natural language interfaces, retrieval-augmented generation systems, or other AI-enabled tools that improve access to structured or unstructured data.
  • Experience with machine learning, artificial intelligence, and/or natural language processing applied to operational or analytical workflows.
  • Experience operating LLM or AI workflows in secure or air-gapped environments.
  • Experience building guardrails, validation mechanisms, and controlled execution workflows for automated analytic systems.
  • Experience with Docker, Linux, cloud platforms, or other technologies supporting deployment and reproducible software workflows.
  • Experience coaching team members in technical skill development and promoting proper data practices.
  • Certification in data science, machine learning, geospatial analysis, or a related field.

Special Requirements:
  • Visa sponsorship is not available for this position.
  • Active TS//SCI clearance required at time of hire.
  • This position requires work on-site in secure facilities and may not be eligible for remote work.

About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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