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Backend Full Stack Developer Jobs in Fargo, ND (NOW HIRING)

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Backend Full Stack Developer information

See Fargo, ND salary details

$23

$58

$84

How much do backend full stack developer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for backend full stack developer in Fargo, ND is $58.18, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $67.02 per hour, depending on experience, location, and employer.

What is the difference between Backend Full Stack Developer vs Frontend Developer?

AspectBackend Full Stack DeveloperFrontend Developer
Primary FocusServer-side logic, databases, APIsUser interface, user experience, visual design
Skills & TechnologiesLanguages like Java, Python, Node.js; databases; server managementHTML, CSS, JavaScript, frameworks like React or Angular
Work EnvironmentBackend systems, server infrastructure, full-stack projectsClient-side applications, UI/UX design, web interfaces
Common UsageBuilding and maintaining server-side applications and APIsDesigning and implementing user-facing features

While both roles involve web development, a Backend Full Stack Developer handles both server-side and client-side tasks, whereas a Frontend Developer specializes in creating engaging user interfaces. The Backend Full Stack Developer has a broader skill set covering databases, server logic, and front-end technologies, making them versatile for full-stack projects.

How much do back-end developers make vs full-stack?

Back-end developers typically earn slightly less than full-stack developers, as full-stack roles require expertise in both front-end and back-end technologies. Salaries for full-stack developers tend to be higher due to their broader skill set, often reflecting experience with frameworks, databases, and server management. Compensation varies based on experience, location, and industry, but full-stack developers generally have a higher earning potential than back-end developers alone.

How do Backend Full Stack Developers typically collaborate with front-end teams during a project?

Backend Full Stack Developers frequently work closely with front-end developers to ensure seamless integration between server-side logic and user interfaces. This collaboration often includes regular meetings to discuss API requirements, troubleshoot integration issues, and align on project timelines. Developers may also participate in code reviews and joint debugging sessions to maintain consistency and performance across the application. Open communication and a shared understanding of both front- and back-end technologies are key to delivering cohesive solutions.

What are the key skills and qualifications needed to thrive as a Backend Full Stack Developer, and why are they important?

To thrive as a Backend Full Stack Developer, you need strong programming skills in languages like JavaScript, Python, or Java, along with a solid understanding of databases, APIs, and system architecture, often backed by a degree in computer science or equivalent experience. Proficiency with frameworks such as Node.js, Django, or Spring Boot, version control systems like Git, and familiarity with cloud platforms are typically required. Strong problem-solving, effective communication, and adaptability are essential soft skills for collaborating across teams and handling complex technical challenges. These skills are crucial for building scalable, reliable applications and ensuring seamless integration between backend and frontend systems.

Will Fullstack be replaced by AI?

Fullstack developers perform a combination of frontend and backend tasks that require problem-solving, creativity, and understanding of user needs, which AI currently cannot fully replicate. While AI tools can assist with coding and automation, human oversight and expertise remain essential for designing, integrating, and maintaining complex applications. Therefore, fullstack development is unlikely to be completely replaced by AI in the near future, but it will evolve alongside new technologies and tools.

Can I learn backend in 3 months?

A Backend Full Stack Developer can acquire foundational backend skills in about three months with intensive study, focusing on programming languages like Python, Java, or Node.js, and understanding databases and APIs. However, mastering complex systems and gaining practical experience typically requires ongoing learning beyond this timeframe.

What is a Backend Full Stack Developer?

A Backend Full Stack Developer is a software professional skilled in both backend and frontend technologies, but with a primary focus on server-side development. They design, build, and maintain the logic, databases, and APIs that power web applications, while also being capable of handling client-side code when necessary. Their expertise includes languages like Java, Python, or Node.js for backend, and familiarity with frontend technologies such as HTML, CSS, and JavaScript frameworks. This versatility allows them to work across the entire technology stack, ensuring seamless integration between the application's user interface and its core functionality.

What is a full-stack backend developer?

A backend full-stack developer is a software professional who works on both the server-side (backend) and client-side (frontend) of web applications. They typically have skills in programming languages like Java, Python, or Node.js, and are familiar with databases, APIs, and server management to build and maintain complete web solutions.
What are popular job titles related to Backend Full Stack Developer jobs in Fargo, ND? For Backend Full Stack Developer jobs in Fargo, ND, the most frequently searched job titles are:
What job categories do people searching Backend Full Stack Developer jobs in Fargo, ND look for? The top searched job categories for Backend Full Stack Developer jobs in Fargo, ND are:
Infographic showing various Backend Full Stack Developer job openings in Fargo, ND as of July 2026, with employment types broken down into 67% Full Time, and 33% Nights. Highlights an 100% In-person job distribution, with an average salary of $121,022 per year, or $58.2 per hour.

Lead Data Scientist (Artificial Intelligence/Machine Learning)

Criminal Investigation & Law Enforcement | IRS Careers

Fargo, ND

$125K/yr

Other

Posted 13 days ago


Job description

WHAT IS INFORMATION TECHNOLOGY ?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
  • Position(s) are to be filled in following area(s):
    • IT - Taxpayer Services and Online Accounts
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes:

  • Designing, developing, integrating, testing, and supporting conversational AI solutions, virtual assistants, chatbots, digital messaging platforms, voice automation, interactive voice response (IVR) platforms, or generative AI-enabled customer engagement solutions in a production environment.
  • Developing and optimizing natural language understanding (NLU), natural language processing (NLP), speech recognition, intent classification, entity recognition, conversational workflows, or automated self-service solutions supporting customer interactions across voice and digital channels.
  • Designing, testing, implementing, and refining prompt engineering strategies, generative AI workflows, large language model (LLM) integrations, and AI-assisted customer engagement capabilities to improve automation, containment, customer experience, and operational outcomes.
  • Integrating conversational AI, generative AI, voice, chat, messaging, or digital engagement platforms with enterprise applications, APIs, backend systems, authentication services, customer data platforms, or knowledge management solutions.
  • Demonstrating subject matter expert (SME)-level proficiency in at least one modern programming language such as Java or Python, including development of backend services, automation, integrations, data processing pipelines, or conversational application logic.
  • Analyzing customer interaction data, conversation transcripts, chat sessions, operational metrics, and user behavior to identify trends, improve AI performance, evaluate model effectiveness, and enhance customer experience outcomes.
  • Developing, querying, and analyzing large datasets using cloud-based analytics platforms and data warehouses to support AI model evaluation, operational reporting, and business decision-making.
  • Troubleshooting and resolving complex system integration, application reliability, authentication, speech processing, conversational AI, generative AI, digital engagement, or performance issues across interconnected platforms.
  • Applying DevSecOps, CI/CD pipelines, automated testing, version control, and agile software development practices in enterprise environments.
  • Collaborating with business stakeholders, architects, engineers, cybersecurity personnel, data scientists, and operations teams to translate business requirements into AI-enabled technical solutions.

AND
You must also meet the following requirement(s):

  • PERFORMANCE RATING: Current federal employees must have at least a fully successful or equivalent performance rating to receive consideration.
  • TIME AFTER COMPETITIVE APPOINTMENT (TACA): By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens"
  • TIME IN GRADE (TIG): Federal employees must meet time-in-grade requirements. For positions above the GS-05,applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for. For positions at the GS-05, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03, or 04 positions.


For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER