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Remote R Shiny Developer Jobs in Dumont, NJ (NOW HIRING)

BluZinc

AI Architect Claude Code Senior Developer

NY · On-site +1

$160K - $220K/yr

AI Architect, US-Based (Remote) to build AI systems that work in production - not demos, not ... not shiny YouTube summaries Can deliver an actionable, measurable improvement within 48 hours Red ...

Next Generation, Inc.

GIS Analyst/Engineer

New York, NY · On-site +1

$80 - $120/hr

This position is hybrid, with up to one remote day per week. Job Responsibilities: * Develop ... Strong programming and analytical skills (Python, SQL, R, or Java). * Expertise in database design ...

3ds

Senior Training Specialist (Remote)

New York, NY · On-site +1

... Engineering teams. * Change Management: Guide clinical trial sites and sponsors through the ... Remote Equal Employment Opportunity : In order to provide equal employment and advancement ...

EmblemHealth

Lead Quality Data Analyst - Remote

New York, NY · On-site +1

$77K - $149K/yr

Experience with improving/automating processes using programming languages/software - Python, VBA, R, SAS, C++, etc. (Required) * Experience with and proficient in statistical software/programs - SAS ...

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All JobsRemote R Shiny Developer JobsRemote R Shiny Developer Jobs in Dumont, NJ

Remote R Shiny Developer information

See Dumont, NJ salary details

$15

$53

$97

How much do remote r shiny developer jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for remote r shiny developer in Dumont, NJ is $53.88, according to ZipRecruiter salary data. Most workers in this role earn between $28.89 and $73.51 per hour, depending on experience, location, and employer.

What are some common challenges faced by Remote R Shiny Developers when collaborating with distributed teams?

Remote R Shiny Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication regarding project requirements, and maintaining code consistency within a collaborative environment. To address these, teams typically rely on regular virtual meetings, shared documentation, and version control systems like Git. Building strong communication skills and being proactive in providing updates can help streamline teamwork and reduce misunderstandings, ultimately leading to more efficient project delivery.

What is a Remote R Shiny Developer?

A Remote R Shiny Developer is a software professional who specializes in building interactive web applications using the R programming language and the Shiny package, while working from a location outside of a traditional office setting. These developers are responsible for designing, coding, and maintaining Shiny apps that allow users to visualize and analyze data interactively. They often collaborate with data scientists, analysts, and business stakeholders to deliver solutions for data-driven decision making. Remote R Shiny Developers need strong skills in R programming, web development, and communication tools to work effectively in distributed teams.

What are the key skills and qualifications needed to thrive as a Remote R Shiny Developer, and why are they important?

To thrive as a Remote R Shiny Developer, you need strong proficiency in R programming, data visualization, and experience building interactive web applications with Shiny, often supported by a degree in computer science, statistics, or a related field. Familiarity with version control systems like Git, deployment tools such as Shiny Server or Docker, and knowledge of SQL databases are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively in remote teams and deliver user-focused solutions. These skills ensure robust, maintainable applications and smooth teamwork in a distributed work environment.

What is the difference between Remote R Shiny Developer vs Data Analyst?

AspectRemote R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, data visualization, web app developmentData manipulation, statistical analysis, Excel, SQL
Work EnvironmentRemote, project-based, software development teamsRemote or on-site, business intelligence teams
Industry UsageTech, healthcare, finance, researchFinance, marketing, healthcare, consulting

Remote R Shiny Developers focus on building interactive web applications using R and Shiny, often working in software or tech environments. Data Analysts analyze data sets to generate insights, typically using statistical tools and visualization software. While both roles may work remotely and require analytical skills, R Shiny Developers specialize in app development, whereas Data Analysts focus on data interpretation and reporting.

What cities near Dumont, NJ are hiring for Remote R Shiny Developer jobs? Cities near Dumont, NJ with the most Remote R Shiny Developer job openings:
Remote R Shiny Developer jobs near you
Infographic showing various Remote R Shiny Developer job openings in Dumont, NJ as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $112,078 per year, or $53.9 per hour.

AI Architect Claude Code Senior Developer

BluZinc

NY • On-site, Remote

$160K - $220K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description


AI Architect, US-Based (Remote) to build AI systems that work in production - not demos, not chatbots, not hype.
We are conducting a confidential search for an experienced AI Business, Solutions and Technical Architect to join a scaled, high-growth US consumer digital business. This role is for a former senior software engineer who now designs and builds production-grade, agentic AI systems. You will not be prompting and hoping for the best. You will be architecting the harness around the model so AI can reliably execute multi-step workflows at scale.
The Mission
Your mandate is to turn AI into a reliable operating system for the business.
Work will progress across three levels:
Level 1: Automate operational processes
Level 2: Automate complex but binary workflows (clear right/wrong outcomes)
Level 3: Apply AI to creative, non-binary work with verification, control, and measurement
Success is defined by measurable wins, not impressive demos
What You Will Do
Architect and build agentic AI systems using Claude Code
Design the AI harness, including:
State management
Context management (preventing context rot)
Tool orchestration
Error recovery strategies
Verification and validation loops
Failure reflection and learning
Define SOPs and system logic before building agents
Apply context engineering (ACE) so AI receives only what it needs - no more, no less
Convert non-binary business problems into binary, measurable questions
Ensure continuous improvement, performance tracking, and cost optimization
Act as the bridge between product vision and technical execution
Required Background
Be US-based (remote within the US)
Have a strong background as a software engineer / senior developer
Have hands-on production experience with Claude Code
Understand that AI ≠ chat
Be able to clearly define a "win" and measure it
Strong experience across:
LLM & reasoning model fundamentals
Agentic system design and orchestration
APIs, integrations, data architecture, and security
Python, TypeScript / JavaScript, SQL
Cloud platforms (AWS, GCP, or Azure)
How You Think
Build systems and SOPs before agents
Prefer principles over tools
Avoid over-engineering
Read source material, not shiny YouTube summaries
Can deliver an actionable, measurable improvement within 48 hours
Red flags we screen out:
Vague specifications
Tool or framework zealotry
Cool demos that don't survive production
Research-only or academic profiles
Over-engineered solutions
Compensation & Benefits
Bonus:
10-20% annual performance bonus
Based on company results and individual system impact
Benefits include:
Medical, dental, vision insurance
401(k) with employer contribution
Generous PTO and holidays
Fully remote (US-based)
Home office / equipment allowance
Base Salary:
$160,000 - $220,000 USD
What Success Looks Like (6-12 Months)
Multiple AI systems running in production
High multi-step success rates across workflows
Measurable operational or revenue impact
AI treated as infrastructure, not experimentation

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