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Entry Level Back End Developer Jobs in Connecticut

Entry Level Back End Developer information

See Connecticut salary details

$11

$54

$80

How much do entry level back end developer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for entry level back end developer in Connecticut is $54.92, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $64.95 per hour, depending on experience, location, and employer.

Is backend developer entry level?

An entry-level backend developer is typically someone new to the field with limited professional experience, often possessing foundational knowledge of programming languages like Python, Java, or Node.js, and understanding of databases and server-side logic. Many employers look for candidates with relevant internships, coding bootcamp completion, or related certifications, and the role usually involves learning on the job under supervision.

What are the key skills and qualifications needed to thrive in the Entry Level Back End Developer position, and why are they important?

To thrive as an Entry Level Back End Developer, you need a solid understanding of programming languages such as Python, Java, or Node.js, as well as familiarity with databases and version control systems, typically supported by a relevant degree or coding bootcamp experience. Experience using frameworks like Django or Express.js, knowledge of RESTful APIs, and proficiency with Git are common technical requirements. Problem-solving abilities, teamwork, and clear communication help candidates stand out in fast-paced development environments. These skills are essential for building reliable server-side applications, supporting seamless collaboration, and ensuring the functionality and security of web services.

Can I learn backend in 3 months?

Entry level back end developers can acquire foundational skills in three months with focused study of programming languages like Python, Java, or Node.js, along with understanding databases and APIs. However, becoming proficient typically requires ongoing practice and real-world experience beyond initial learning. Consistent effort, hands-on projects, and familiarity with tools like version control are essential for job readiness.

What engineer makes $500,000 a year?

While most entry-level back end developers earn significantly less, senior back end engineers with extensive experience, specialized skills, and working at large tech companies can reach or exceed $500,000 annually through base salary, bonuses, and stock options. Such compensation typically requires advanced expertise in programming languages, cloud platforms, and system architecture, along with years of experience and a strong track record.

Will backend be replaced by AI?

As an Entry Level Back End Developer, AI is expected to automate some routine coding tasks and improve efficiency, but it is unlikely to fully replace the need for human developers. Skills in programming languages, database management, and understanding system architecture remain essential, as AI tools are used to assist rather than replace core development work.

What is an Entry Level Back End Developer job?

An Entry Level Back End Developer is responsible for building and maintaining the server-side logic of web applications. They work with databases, APIs, and server frameworks to ensure smooth data processing and functionality. Typically, they use languages like Python, Java, or Node.js, and collaborate with front-end developers to integrate user-facing elements. This role requires a fundamental understanding of programming, databases, and version control systems like Git. They often work under the guidance of senior developers to improve performance and security.

What are some common challenges faced by entry level back end developers and how can I overcome them?

Entry level back end developers often encounter challenges such as understanding complex codebases, debugging issues in unfamiliar systems, and managing time across multiple tasks. To overcome these obstacles, it's helpful to ask questions early and often, use available documentation, and collaborate closely with more experienced team members. Staying organized, practicing consistent coding habits, and actively participating in code reviews will also accelerate your learning. Adapting to new technologies and frameworks is a normal part of the growth process in this role, and a willingness to continuously learn will help you succeed.

What are popular job titles related to Entry Level Back End Developer jobs in Connecticut? For Entry Level Back End Developer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Entry Level Back End Developer jobs in Connecticut look for? The top searched job categories for Entry Level Back End Developer jobs in Connecticut are:
What cities in Connecticut are hiring for Entry Level Back End Developer jobs? Cities in Connecticut with the most Entry Level Back End Developer job openings:
Infographic showing various Entry Level Back End Developer job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $114,236 per year, or $54.9 per hour.
AI Engineer / Data Scientist, AI Experienced Associate

AI Engineer / Data Scientist, AI Experienced Associate

Pwc

Stamford, CT

$63K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 hours ago

Posted today


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Associate

Job Description & Summary

The Opportunity
As part of the AI Engineering team within the Digital Assurance & Technology team, we're seeking an innovative and versatile AI professional with AI and ML development and/or testing expertise. In this role, you'll work with teams that are building and deploying scalable AI-powered solutions within real-world applications. You'll work cross-functionally with data scientists, ML engineers, backend/frontend developers, and product teams to help test and deliver impactful AI products.
In this role, 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 the AI models to be useful and scalable. You will be expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. Embrace the opportunity to grow in a fast-paced environment, adapting to diverse challenges and contributing to innovative solutions.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models to support client decision-making processes
- Collaborating with cross-functional teams to integrate AI solutions into existing platforms
- Conducting data wrangling and preprocessing to prepare datasets for analysis
- Applying advanced algorithms to enhance the performance of AI models
- Building and deploying software systems that leverage AI and machine learning technologies
- Analyzing complex data sets to identify patterns and trends that inform business strategies
- Supporting client engagements by delivering quality work and adapting to diverse project requirements
- Engaging in continuous learning to deepen technical skills and knowledge in AI engineering
- Upholding professional and technical standards while contributing to team success
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- 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 techniques
- Excelling in client support within fast-paced environments
- Adapting quickly to diverse client needs and project scopes
- Building a personal brand through consistent quality work
- Utilizing analytical skills to discern patterns and insights

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $63,000 - $141,500. 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.

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