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Entry Level Software Engineering Jobs in Little Rock, AR

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

This entry-level role works under the guidance of senior engineers and project leads to ensure ... Perform basic pole loading analysis under supervision using approved software and engineering ...

This entry-level role works under the guidance of senior engineers and project leads to ensure ... Perform basic pole loading analysis under supervision using approved software and engineering ...

This entry-level role is ideal for someone detail-oriented and eager to grow in the telecom ... Support Permit Coordinators and engineering teams with data collection, GIS mapping, and ...

This entry-level role is ideal for someone detail-oriented and eager to grow in the telecom ... Support Permit Coordinators and engineering teams with data collection, GIS mapping, and ...

Responsibilities - Analyzing client needs to implement Oracle supply chain and operations software ... Supply Chain Management, Operations Management, Industrial Engineering, Business Administration ...

Entry Level Software Engineering information

See Little Rock, AR salary details

$23K

$100.6K

$181.3K

How much do entry level software engineering jobs pay per year?

As of Aug 27, 2026, the average yearly pay for entry level software engineering in Little Rock, AR is $100,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $115,100.00 per year, depending on experience, location, and employer.

What is an entry level software engineer?

Entry level software engineers are professionals who have recently started their careers in software development, typically with less than two years of experience. They are responsible for writing, testing, and maintaining code under the supervision of more experienced engineers. These roles often focus on learning company-specific tools, frameworks, and best practices while contributing to small tasks or projects. Entry level software engineers usually work as part of a team and are mentored to help them grow their technical and professional skills.

What are the typical responsibilities of an entry level software engineer?

In your first year as an entry level software engineer, you can expect to work on tasks such as fixing bugs, writing and testing code under supervision, and assisting with documentation. You'll often participate in code reviews, learn about the company’s tech stack, and collaborate closely with senior engineers and other team members. Early projects are designed to help you build technical and communication skills, while gradually increasing your responsibilities as you gain confidence and familiarity with the workflow.

What are the key skills and qualifications needed to thrive as an entry level software engineer?

To thrive as an Entry Level Software Engineer, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically supported by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, proficiency in version control systems like Git, and experience with basic development tools are common technical requirements. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills and qualities are vital for writing quality code, collaborating with team members, and adapting to new technologies in a dynamic environment.

How to get a job as an entry level software engineer with no experience?

Entry level software engineering positions often require foundational programming skills in languages like Python, Java, or C++, and familiarity with tools such as Git and basic understanding of algorithms. Gaining experience through personal projects, internships, coding bootcamps, or online courses can help demonstrate your skills to employers. Building a strong portfolio and preparing for technical interviews are also important steps in securing an entry level role.

Is 25 too late to become an entry level software engineer?

Entry level software engineering roles are open to candidates of all ages, and starting at 25 is common. Many employers value skills, such as programming languages and problem-solving abilities, over age, and individuals can successfully transition into software engineering through coding bootcamps, online courses, or self-study. Age should not be a barrier to entering the field at an entry level.

What are the most commonly searched types of Software Engineering jobs in Little Rock, AR?

The most popular types of Software Engineering jobs in Little Rock, AR are:

What are popular job titles related to Entry Level Software Engineering jobs in Little Rock, AR?

For Entry Level Software Engineering jobs in Little Rock, AR, the most frequently searched job titles are:

What job categories do people searching Entry Level Software Engineering jobs in Little Rock, AR look for?

The top searched job categories for Entry Level Software Engineering jobs in Little Rock, AR are:

Infographic showing various Entry Level Software Engineering job openings in Little Rock, AR as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $100,579 per year, or $48.4 per hour.

AI & GenAI Data Scientist - Manager

Pwc

Little Rock, AR • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning models and solutions
- Managing complex data analysis and integration to support AI-driven initiatives
- Utilizing programming languages such as Python and Java to enhance AI model deployment
- Overseeing the creation and maintenance of data pipelines and infrastructure
- Applying deep learning techniques and neural networks to improve predictive analytics
- Collaborating with stakeholders to address data challenges and optimize AI applications
- Mentoring team members to develop skills in AI implementation and data engineering
- Validating data quality and compliance within AI frameworks
- Encouraging innovation and embracing change to drive business growth through AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing complex data analysis and data modeling techniques
- Excelling in coaching and mentoring team members
- Embracing change and innovation in technology consulting
- Developing skills in neural networks and natural language processing

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK