Data-Focused Full Stack Engineer
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Data-Focused Full Stack Engineer
115,000–130,000 / Year
Location
US
Experience
Mid
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantFull-timeWork from Home
Job Description
**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data-Focused Full Stack Engineer based in United States.**
This role offers the opportunity to build innovative software and data systems that power next-generation AI-driven customer experiences.
You will work across the full technology stack, combining backend engineering, frontend development, data platforms, and AI integrations.
The position is ideal for an engineer who enjoys solving complex problems, exploring new technologies, and delivering impactful solutions.
You will collaborate with cross-functional engineering, product, data, and AI teams to transform customer interaction data into meaningful products and insights.
The role provides the chance to take ownership of ambiguous challenges and turn ideas into reliable, production-ready systems.
You will contribute to scalable solutions that improve automation, efficiency, and user experiences in a rapidly evolving technology environment.
### Accountabilities:
As a Data-Focused Full Stack Engineer, you will contribute to the development of data-driven products and AI-enabled experiences by designing, building, and improving scalable software solutions. You will work across multiple layers of the technology stack while collaborating with diverse teams to deliver reliable, customer-focused systems.
- Build and maintain full-stack product features that leverage data and AI capabilities to enhance customer, agent, supervisor, and administrator experiences.
- Develop backend services, APIs, workflows, and integrations connecting product systems with data and AI technologies.
- Work with customer interaction data, analytics models, and operational datasets to support intelligent product features.
- Collaborate with AI, Data Platform, Product, QA, and engineering teams to design and deliver high-quality customer-facing solutions.
- Contribute to data pipelines, data models, analytics workflows, and internal tools that improve access to product and operational insights.
- Create user-facing applications and interfaces using modern JavaScript and TypeScript technologies when needed.
- Write clean, maintainable, and well-tested code while participating in design reviews, code reviews, debugging, and production support.
- Take ownership of complex technical challenges by breaking down ambiguous problems and driving solutions from concept to delivery.
- Continuously learn new technologies and contribute to improving engineering practices and team standards.
## Requirements:
The ideal candidate is a versatile software engineer with strong full-stack development skills, experience working with data-intensive systems, and an interest in building AI-powered solutions. You should be comfortable operating in a collaborative environment where initiative, adaptability, and technical ownership are highly valued.
- 3+ years of professional software engineering experience.
- Strong production experience with Python and experience building reliable software systems.
- Experience developing full-stack applications, backend services, APIs, or data-driven product features.
- Working knowledge of JavaScript and/or TypeScript.
- Experience with data systems, pipelines, analytics workflows, or applications involving large-scale datasets.
- Interest in or experience with AI technologies, machine learning systems, LLM applications, virtual agents, automation, or intelligent software solutions.
- Strong software engineering fundamentals, including testing, version control, debugging, and scalable system design.
- Ability to work across different areas of the technology stack and quickly learn unfamiliar tools and frameworks.
- Demonstrated ownership, self-motivation, and ability to make progress in ambiguous technical environments.
- Strong written and verbal communication skills, particularly in distributed team settings.
- Experience working with cloud platforms.
**Preferred Qualifications:**
- Experience with cloud platforms such as Google Cloud Platform.
- Experience building event-driven systems, workflow engines, queues, or distributed architectures.
- Familiarity with contact center, CRM, customer support, messaging, or telephony technologies.
- Experience with Ruby or Ruby on Rails.
## Benefits:
- Competitive annual salary range of **$115,000 – $130,000 USD**, depending on experience, location, education, and skill level.
- Remote and hybrid work flexibility for eligible candidates.
- Comprehensive benefits package including medical, dental, and vision coverage.
- 401(k) retirement plan.
- Wellness benefits and programs supporting employee well-being.
- Opportunity to work on impactful AI and customer experience technologies.
- Collaborative and inclusive culture focused on innovation, creativity, and professional growth.
**How Jobgether works:**
We use an **AI-powered matching process** to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
[Why Apply Through Jobgether?](https://jobgether.com/how-jobgether-works)
**Data Privacy Notice:** By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Key Responsibilities
- Build and maintain full-stack product features leveraging data and AI capabilities.
- Develop backend services, APIs, workflows, and integrations connecting product systems with data and AI technologies.
- Work with customer interaction data, analytics models, and operational datasets to support intelligent product features.
- Collaborate with AI, Data Platform, Product, QA, and engineering teams to design and deliver high-quality solutions.
- Contribute to data pipelines, data models, analytics workflows, and internal tools.
- Create user-facing applications and interfaces using modern JavaScript and TypeScript technologies.
- Write clean, maintainable, and well-tested code while participating in design reviews and production support.
- Take ownership of complex technical challenges by breaking down ambiguous problems and driving solutions.
Skills Required
PythonJavaScriptTypeScriptFull-stack developmentBackend servicesAPIsData systemsData pipelinesAnalytics workflowsCloud platformsVersion controlTestingDebuggingScalable system designAI technologiesMachine learning systemsLLM applicationsVirtual agentsAutomationCollaborationInitiativeAdaptabilityTechnical ownershipSelf-motivationWritten communicationVerbal communicationProblem solvingGoogle Cloud PlatformEvent-driven systemsWorkflow enginesQueuesDistributed architecturesContact center technologiesCRM technologiesMessaging technologiesTelephony technologiesRubyRuby on Rails
Benefits
- Competitive annual salary
- Remote and hybrid work flexibility
- Medical, dental, and vision coverage
- 401(k) retirement plan
- Wellness benefits and programs
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