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Full Stack Data Engineer Jobs in Orem, UT (NOW HIRING)

The Full-Stack Engineer is responsible for developing, maintaining, and enhancing both front-end ... If you would like more information about how your data is processed, please contact us. apply for ...

The Full-Stack Engineer is responsible for developing, maintaining, and enhancing both front-end ... If you would like more information about how your data is processed, please contact us.

The Full-Stack Engineer is responsible for developing, maintaining, and enhancing both front-end ... If you would like more information about how your data is processed, please contact us.

Delivers intake decisions in seconds, automatically extracting key data from referrals to increase ... About the role We're looking for a high-impact Senior Full Stack Engineer to help build and scale ...

We are seeking a Senior Full-Stack Software Engineer to design, build, and scale high-quality web ... Architect and implement APIs, services, and data models * Improve system reliability, observability ...

They are seeking a Senior Full Stack Engineer to design and build full-stack features, collaborate with product and design teams, and mentor others while influencing the technical direction of their ...

Senior Full Stack Engineer We're building the tools that help local businesses connect, grow, and win. We're looking for a Senior Full Stack Engineer who's excited to solve big challenges across our ...

Full Stack Engineer

Provo, UT · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

We are seeking a Senior Full-Stack Software Engineer to design, build, and scale high-quality web ... Architect and implement APIs, services, and data models * Improve system reliability, observability ...

Utah Mammoth is seeking a Full-Stack Software Engineer to design and build internal software used ... Responsibilities : • Build internal web applications and decision-support tools • Develop data ...

Crumbl is the fastest-growing cookie company in the nation, seeking a Full-Stack Engineer to develop and enhance web applications related to their supply chain and distribution systems. The role ...

Data Engineer

Draper, UT

$107K - $128.50K/yr

The Data Engineer will take a prominent role in leading full stack development projects, collaborating with cross-functional teams to design, develop, and implement software solutions and API ...

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Full Stack Data Engineer information

See Orem, UT salary details

$38.7K

$117.2K

$165.6K

How much do full stack data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for full stack data engineer in Orem, UT is $117,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $137,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

How does a Full Stack Data Engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a Full Stack Data Engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Full Stack Data Engineer jobs in Orem, UT? For Full Stack Data Engineer jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Orem, UT look for? The top searched job categories for Full Stack Data Engineer jobs in Orem, UT are:
What cities near Orem, UT are hiring for Full Stack Data Engineer jobs? Cities near Orem, UT with the most Full Stack Data Engineer job openings:
Infographic showing various Full Stack Data Engineer job openings in Orem, UT as of May 2026, with employment types broken down into 80% Full Time, 11% Part Time, 2% Temporary, and 7% Contract. Highlights an 79% In-person, 4% Hybrid, and 17% Remote job distribution, with an average salary of $117,165 per year, or $56.3 per hour.

Other

Posted 26 days ago


Job description

Overview

At Leadership Circle, we are reimagining how leadership grows from one-time events to personalized, continuous, human-centered experiences.

We are seeking a Senior Full Stack Software Engineer to help build and evolve our next-generation platform.

This role is focused on designing and delivering new platform capabilities using modern technologies including Next.js, NestJS, and Aurora PostgreSQL. You will work across the full stack, contributing to everything from frontend user experiences to backend services and data models.

As a senior engineer, you will play a key role in shaping implementation decisions, contributing to architectural discussions, and delivering scalable and reliable solutions in close collaboration with senior technical leadership.

A core expectation of this role is the active, consistent, and advanced use of AI-assisted development tools such as Claude Code. Success in this role requires embracing AI as a fundamental part of how software is designed, built, and maintained, using it to accelerate development, improve code quality, and increase overall engineering effectiveness.

Responsibilities

Design and deliver full stack features on the new platform using Next.js for the frontend, NestJS for the API layer, and Aurora PostgreSQL for the database

Contribute to technical design and architecture discussions, helping shape solutions that balance scalability, maintainability, and delivery speed

Build high-quality frontend experiences and backend services that are reliable, maintainable, and performant

Develop and evolve APIs and service boundaries to support a modular and scalable platform

Work with PostgreSQL to design schemas, write efficient queries, and optimize performance

Leverage AWS services such as S3, Lambda, and SQS to support scalable and event-driven systems

Implement secure authentication and authorization flows using Auth0 and OAuth standards

Follow and contribute to engineering best practices including testing, CI/CD, observability, and secure system design

Actively use AI-assisted development tools such as Claude Code as a core part of daily engineering work including code generation, refactoring, debugging, and system comprehension

Continuously improve how AI tools are used within the team to increase development speed, reduce friction, and improve overall engineering effectiveness

Collaborate closely with Product, UX, and engineering peers to deliver customer value iteratively

Mentor other engineers through code reviews, pairing, and sharing best practices

Foster a collaborative team environment by communicating proactively, sharing context, asking questions openly, and contributing to thoughtful technical discussions

Requirements

7 or more years of software engineering experience with significant full stack development responsibilities

Experience operating at a senior level with strong implementation skills and contributions to system design

Strong experience with modern web technologies including TypeScript, Node.js, React, and Next.js

Experience building backend services using frameworks such as NestJS or similar Node.js frameworks

Deep experience working with PostgreSQL or similar relational databases

Strong understanding of API design and scalable application patterns

Experience working with AWS services such as Lambda, S3, SQS, and RDS or Aurora

Ability to work effectively in environments with evolving requirements and shared technical ownership

Strong communication skills and a team-first mindset with a willingness to ask questions, share context, and collaborate to find the best solutions

Comfort giving and receiving feedback in code reviews and technical discussions

Demonstrated experience using AI tools such as Claude Code, GitHub Copilot, or ChatGPT as a core part of the development workflow

Strong ability to evaluate, validate, and improve AI-generated outputs to ensure production-quality code

Mindset that embraces AI as a force multiplier for engineering productivity and continuous learning

Bonus

Experience contributing to platform or system design in a collaborative environment

Experience with infrastructure-as-code tools such as CDK, Terraform, or CloudFormation

Experience building AI-powered features such as LLM integrations, RAG systems, or intelligent workflows

Experience helping teams adopt and improve AI-assisted development practices