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Amazon Entry Level Software Engineer Jobs in Tennessee

... Finance, Software Support, Fulfillment Centers) - Ability to pull data from numerous databases ... 2+ years of Amazon experience - Bachelor's degree in Engineering, Operations, Supply Chain ...

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Amazon Entry Level Software Engineer information

Is it easy to get into Amazon as a Software Engineer?

Getting into Amazon as an entry-level software engineer typically requires a strong foundation in programming, data structures, and algorithms, along with relevant internships or projects. The hiring process is competitive and often involves multiple interview rounds assessing technical skills and problem-solving abilities.

What are the typical projects and technologies Amazon Entry Level Software Engineers work with, and how do teams support learning and onboarding?

As an Amazon Entry Level Software Engineer, you'll often work on projects that involve large-scale distributed systems, cloud computing, and automation tools, using languages like Java, Python, or C++. Teams at Amazon are known for their supportive onboarding processes, which include mentorship programs, code reviews, and regular team meetings to help new hires ramp up quickly. You'll collaborate closely with senior engineers, product managers, and other stakeholders, which fosters continuous learning and development. Expect to start with smaller tasks and progressively take on more complex responsibilities as you grow within the team.

How much do entry-level software engineers make at Amazon?

Entry-level software engineers at Amazon typically earn a base salary ranging from $80,000 to $120,000 per year, depending on location and experience. They often receive additional compensation such as bonuses and stock options, and are expected to have skills in programming languages like Java, Python, or C++.

What are the key skills and qualifications needed to thrive as an Amazon Entry Level Software Engineer, and why are they important?

To thrive as an Amazon Entry Level Software Engineer, a strong grasp of computer science fundamentals, coding proficiency (especially in languages like Java, C++, or Python), and a relevant degree in computer science or a related field are essential. Familiarity with software development tools, version control systems like Git, and cloud technologies such as AWS is highly valued. Problem-solving ability, teamwork, and effective communication are standout soft skills for this role. These skills are crucial for delivering high-quality software solutions, collaborating in agile teams, and adapting to Amazon’s fast-paced, innovative environment.

What engineer makes $500,000 a year?

While most entry-level software engineers, including those at companies like Amazon, earn significantly less, some senior or specialized engineers with extensive experience, stock options, and bonuses can reach or exceed $500,000 annually. High compensation often involves roles in high-demand areas such as machine learning, cloud infrastructure, or executive-level engineering positions, and may include equity and performance incentives.

What does an Amazon Entry Level Software Engineer do?

An Amazon Entry Level Software Engineer is responsible for designing, developing, and maintaining software systems to support Amazon’s services and products. They typically work as part of a team, collaborating with other engineers, product managers, and stakeholders to solve technical problems and implement new features. Entry-level engineers are expected to write clean, efficient code, participate in code reviews, and continuously learn new technologies. This role is a great starting point for those beginning their careers in software development and offers opportunities for growth and advancement.

Does Amazon hire entry-level?

Yes, Amazon hires entry-level software engineers, often offering roles that require a bachelor's degree in computer science or related fields. These positions typically involve on-the-job training, coding in languages like Java or Python, and may include internship or apprenticeship programs for new graduates.
What job categories do people searching Amazon Entry Level Software Engineer jobs in Tennessee look for? The top searched job categories for Amazon Entry Level Software Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Amazon Entry Level Software Engineer jobs? Cities in Tennessee with the most Amazon Entry Level Software Engineer job openings:
Infographic showing various Amazon Entry Level Software Engineer job openings in Tennessee as of July 2026, with employment types broken down into 9% Locum Tenens, 81% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Analytics Engineer I (Entry-Level) (3897)

Analytics Engineer I (Entry-Level) (3897)

Navarro Inc.

Oak Ridge, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Navarro Research and Engineering is recruiting an Analytics Engineer I (Entry-Level) (3897) in Oak Ridge, TN.
Navarro Research & Engineering is an award-winning federal contractor dedicated to partnering with clients to advance clean energy and deliver effective solutions for complex challenges in the nuclear and environmental fields. Joining Navarro means being a part of an exceptional team committed to quality and safety while also looking for innovative strategies to create value for the client's success. Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense.
Position Summary
The Analytics Engineer I (Entry-Level) will support Navarro's Data & Analytics team by helping build and maintain data pipelines, assisting with reporting and dashboarding efforts, and contributing to applied AI projects. This role is well suited for an early-career professional interested in growing into a strong analytics or applied AI contributor, including work involving AI/ML techniques to extract, structure, and validate key information from unstructured documents.
Responsibilities
  • Assist in designing, building, and maintaining data pipelines and ETL/ELT processes.
  • Write and optimize SQL queries to extract, transform, and analyze data from multiple sources.
  • Support the development of dashboards and reports using Excel and other business intelligence tools.
  • Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis.
  • Build and support AI/ML-driven workflows for extracting key text and structured data from documents, including NLP, LLM-based extraction, and OCR plus ML pipelines.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data and applied AI project needs.
  • Help document data models, pipeline logic, and AI/ML workflow processes.
  • Contribute to data quality checks and validation processes for both traditional data and AI-generated outputs.

Requirements
Requirements
  • Bachelor's degree in Data Analytics, Statistics, Computer Science, Mathematics, Engineering, or a related field.
  • Working knowledge of SQL for querying and manipulating data.
  • Proficiency in Excel, including formulas, pivot tables, and data visualization.
  • Proficiency in Python and/or R, including experience with relevant ML/AI libraries such as pandas, scikit-learn, or similar tools.
  • Hands-on exposure to AI/ML concepts through coursework, projects, or internships, such as text extraction, natural language processing, or document processing.
  • Strong analytical and problem-solving skills.
  • Good communication skills and the ability to work in a collaborative, cross-functional environment.
  • Attention to detail and a commitment to data accuracy.

Preferred Qualifications
  • Master's degree in a relevant quantitative field.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud and BI tools such as Tableau, Power BI, or Looker.
  • Familiarity with version control, such as Git, and basic software engineering practices.
  • Experience with LLM-based tools or APIs for document parsing, text extraction, entity recognition, or information extraction.
  • Experience with OCR tools or unstructured document processing, including PDF or text parsing libraries
  • Local candidates are preferred.

Due to the nature of the government contract requirements and/or clearances requirements, US citizenship is required.
Navarro is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, religion, color, national origin, age, disability, veteran's status, or any classification protected by applicable state or local law.
EEO Employer/Vet/Disabled
Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation & Public Holidays)
  • Short Term & Long Term Disability