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Junior Data Engineering Jobs in Tennessee (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Nashville, TN

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... guiding junior team members - Upholding standards in project deliverables - Building and ...

US Xpress

Engineer, Data II

Chattanooga, TN

$98K - $117K/yr

Conduct data analysis and performance tuning to optimize database systems. Assist in mentoring junior engineers and contribute to best practices.

U.S. Xpress

Engineer, Data II

Chattanooga, TN

$98K - $117K/yr

Conduct data analysis and performance tuning to optimize database systems. Assist in mentoring junior engineers and contribute to best practices.

Nissan Motor Co., Ltd.

Data Scientist

Smyrna, TN · On-site

In addition to hands-on delivery, this role contributes to team capability by mentoring junior ... Collaborate with IS/IT and data engineering teams to prepare data pipelines, integrate data sources ...

Nissan Motor Manufacturing UK

Data Scientist

Smyrna, TN · Hybrid

In addition to hands-on delivery, this role contributes to team capability by mentoring junior ... Collaborate with IS/IT and data engineering teams to prepare data pipelines, integrate data sources ...

Pwc

AI Engineer

Nashville, TN

$55K - $187K/yr

... junior team members in AI implementation and data engineering practices What You Must Have - At least a Bachelor's degree or, in lieu of a degree, demonstrating in addition to the minimum years of ...

New

CTI

Junior AI Developer

Memphis, TN · On-site +1

$60K - $78K/yr

PURPOSE OF POSITION Assist with model integration, data pipelines, retrieval infrastructure, and the engineering scaffolding required to ship reliable, secure, and cost-effective Artificial ...

APTIM

Junior Electrical Engineer

Knoxville, TN · On-site

$68K - $73K/yr

Junior level Electrical Engineer. Performs engineering work in the initial planning and design ... Collect and interpret engineering data, compile data for project reports, collect and compile field ...

APTIM

Junior Electrical Engineer

Knoxville, TN · On-site

$74K - $82K/yr

Junior level Electrical Engineer. Performs engineering work in the initial planning and design ... Collect and interpret engineering data, compile data for project reports, collect and compile field ...

Intellivo

Senior Full Stack Developer

Memphis, TN · On-site

The role partners closely with Data Engineering, Infrastructure, Product, and Operations to ... Mentor junior developers on engineering best practices, code quality, and modern development ...

Intellivo

Senior Full Stack Developer

Memphis, TN

The role partners closely with Data Engineering, Infrastructure, Product, and Operations to ... Mentor junior developers on engineering best practices, code quality, and modern development ...

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All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Tennessee

Junior Data Engineering information

See Tennessee salary details

$30.4K

$65.2K

$99.4K

How much do junior data engineering jobs pay per year?

As of Jul 31, 2026, the average yearly pay for junior data engineering in Tennessee is $65,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $72,600.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

What are the key skills and qualifications needed to thrive as a Junior Data Engineer, and why are they important?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What does a Junior Data Engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are some typical challenges a Junior Data Engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.
What are the most commonly searched types of Data Engineering jobs in Tennessee? The most popular types of Data Engineering jobs in Tennessee are:
What are popular job titles related to Junior Data Engineering jobs in Tennessee? For Junior Data Engineering jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineering jobs in Tennessee look for? The top searched job categories for Junior Data Engineering jobs in Tennessee are:
What cities in Tennessee are hiring for Junior Data Engineering jobs? Cities in Tennessee with the most Junior Data Engineering job openings:
Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $65,166 per year, or $31.3 per hour.

Principal Data Modeler with GCP

Kanak Elite Services Inc

Nashville, TN • On-site

$53 - $68.50/hr

Contractor

Re-posted 25 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Principal Data Modeler with GCP with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Principal Data Modeler with GCP

Location          : Nashville, TN Onsite

Duration         : 12+ months contract

Job Summary:

We are seeking a highly experienced Principal Data Modeler to lead our enterprise data modelling efforts and define the blueprint for how data is structured, integrated, and governed across the organization. You will collaborate with data architects, engineers, analysts, and business stakeholders to design scalable, high-performance data models that support both operational and analytical workloads.

Key Responsibilities:

  • Lead Data Modelling Strategy: Define and drive the enterprise data modelling standards, guidelines, and best practices (conceptual, logical, and physical models).
  • Model Development: Design and maintain enterprise-wide data models, ensuring consistency, reuse, and adherence to data governance policies.
  • Collaboration: Work closely with data architects, DBAs, data engineers, BI teams, and business analysts to ensure models align with business needs and technical environments.
  • Data Integration & Warehousing: Contribute to the design of data lakes, data warehouses, and real-time data pipelines by modelling schemas for structured and semi-structured data.
  • Tool & Technology Expertise: Use industry-standard modelling tools (e.g., ER/Studio, ERwin, SQL Developer Data Modeler) and maintain model repositories and versioning.
  • Metadata & Lineage: Ensure data models are well-documented and integrated into metadata management and data lineage tools.
  • Data Quality & Governance: Support data quality initiatives by ensuring models align with data governance frameworks, including master data management and reference data standards.
  • Mentoring: Provide thought leadership and mentor junior data modellers and data engineers.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
  • 10+ years of experience in data modelling and data architecture, preferably in large-scale enterprise environments.
  • Deep understanding of relational, dimensional, and NoSQL data modelling.
  • Strong knowledge of database technologies (e.g., Oracle, SQL Server, PostgreSQL, Snowflake, Redshift).
  • Experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools.
  • Familiarity with data governance, metadata management, and data lineage concepts.
  • Exceptional analytical, problem-solving, and communication skills.
  • Proven ability to work cross-functionally with both technical and non-technical teams.