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

Ship high-quality, secure features from spec to production including API design, data modeling ... Improve developer experience through testing strategies, build pipelines, documentation, and ...

Ship high-quality, secure features from spec to production including API design, data modeling ... Improve developer experience through testing strategies, build pipelines, documentation, and ...

Ship high-quality, secure features from spec to production including API design, data modeling ... Improve developer experience through testing strategies, build pipelines, documentation, and ...

Ship high-quality, secure features from spec to production, including API design, data modeling ... Improve developer experience through testing strategies, build pipelines, documentation, and ...

Ship high-quality, secure features from spec to production, including API design, data modeling ... Improve developer experience through testing strategies, build pipelines, documentation, and ...

Ship high-quality, secure features from spec to production, including API design, data modeling ... Improve developer experience through testing strategies, build pipelines, documentation, and ...

Handoff documentation sufficient for our engineers to own the work after the engagement ends. What ... Data warehouse familiarity (Snowflake) and a working understanding of row-level security. * AI ...

Showing results 41-60

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 Sep 3, 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 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.

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 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.

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 June 2026, with employment types broken down into 3% As Needed, 62% Full Time, 28% Part Time, and 7% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $117,165 per year, or $56.3 per hour.

Full Time // Full Stack .Net Developer

PeopleNTech

Draper, UT • On-site

Other

Posted 15 days ago


Job description

Job Role Full Stack .Net Developer

Location Kansas City, MO (2-3 days Onsite)

Full Time role

Year of experience - 6-10 yrs.

Must have skills : Cloud development (Strong), React (Strong)

Good to have skills: Docker (Expert), GitHub Actions (Expert), Terraform (Expert)

Job Description :

Design, develop, and maintain enterprise-grade applications using .NET Core and modern front-end technologies with a strong focus on hands-on coding.

Own end-to-end feature development, from requirement analysis and technical design to implementation, testing, and deployment.

Build scalable, secure, and high-performance backend services and RESTful APIs following clean architecture and best practices.

Develop and optimize responsive, user-friendly web interfaces using React.

Work closely with product owners, architects, and QA engineers to clarify requirements and deliver high-quality solutions.

Implement cloud-native solutions on AWS, including service integration, performance optimization, and security configuration.

Write clean, maintainable, and testable code while adhering to established coding standards and architectural guidelines.

Actively participate in code reviews, providing and incorporating constructive feedback to improve code quality.

Diagnose and resolve complex technical issues across backend, frontend, and cloud environments.

Contribute to CI/CD pipelines, deployment automation, and DevOps practices to improve reliability and development efficiency.

Share knowledge and provide technical support to junior developers through collaboration and example-driven guidance.