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Junior Data Engineering Jobs in Utah (NOW HIRING)

LVT

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

Contribute to AI data infrastructure--support RAG pipelines, vector storage, and Snowflake Cortex integrations as one component of the broader engineering scope. * Mentor junior engineers and build ...

LVT

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Contribute to AI data infrastructure-support RAG pipelines, vector storage, and Snowflake Cortex integrations as one component of the broader engineering scope. * Mentor junior engineers and build ...

CGI Inc.

Junior AI Engineer

Salt Lake City, UT · On-site

  • Retirement

  • PTO

Junior AI Engineer Category: Software Development/ Engineering Main location: United States, Utah ... Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science ...

Hatch

Junior Commissioning Engineer

Salt Lake City, UT · On-site

Engineering Graduates are included in the Hatch Young Professionals development program designed to ... Provide technical input for testing and data collection during the pre-commissioning and ...

Hatch

Junior Commissioning Engineer

Salt Lake City, UT · On-site

Engineering Graduates are included in the Hatch Young Professionals development program designed to ... Provide technical input for testing and data collection during the pre-commissioning and ...

Publicis Groupe Holdings B.V

Senior Analytics Engineer

Lehi, UT · On-site

$98K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Mentor junior and mid-level team members on analytics engineering best practices * Document data models, lineage, and transformation logic so the team can move faster and onboard new members with ...

DataBank

Jr. Critical Infrastructure Engineer

Riverton, UT · On-site

$75K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

DataBank's managed data center services are anchored in world-class facilities. Our customized ... This position reports on-site and works closely with senior engineering staff and site operations ...

DataBank

Jr. Critical Infrastructure Engineer

Riverton, UT · On-site

$75K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

DataBank's managed data center services are anchored in world-class facilities. Our customized ... This position reports on-site and works closely with senior engineering staff and site operations ...

ATS Welding

Junior Estimator

Marriott Slaterville, UT · On-site

$50K/yr

... field data. The ideal candidate has some experienced in both new construction and maintenance ... Collaborate with Estimators, project managers, engineers, and field supervisors to validate ...

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Showing results 21-40

All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Utah

Junior Data Engineering information

See Utah salary details

$30.5K

$65.4K

$99.7K

How much do junior data engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for junior data engineering in Utah is $65,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,200.00 and $72,800.00 per year, depending on experience, location, and employer.

What does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as a junior data engineer?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

What are the most commonly searched types of Data Engineering jobs in Utah?

The most popular types of Data Engineering jobs in Utah are:

What are popular job titles related to Junior Data Engineering jobs in Utah?

For Junior Data Engineering jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineering jobs in Utah look for?

The top searched job categories for Junior Data Engineering jobs in Utah are:

What cities in Utah are hiring for Junior Data Engineering jobs?

Cities in Utah with the most Junior Data Engineering job openings:

Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $65,364 per year, or $31.4 per hour.

Senior Data Engineer

LVT

American Fork, UT

$94K - $128K/yr

Full-time

Re-posted 17 days ago

Job description

ABOUT LVT

LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it.

We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it.

  • A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky Mountain Regional list for 2025.
  • Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024.
  • Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025.
ABOUT THIS ROLE

As Senior Data Engineer, you will own and evolve LVT's core data platform—architecting and operating the pipelines, transformations, and semantic models that power reporting, analytics, and business decisions at scale. This is a high-impact individual contributor role: your technical decisions will influence company-wide systems and competitive positioning, not just team-level outputs. You'll lead cross-functional data initiatives, set engineering standards, and contribute to the data infrastructure that supports LVT's growing AI capabilities.

This role is based in-office out of our Headquarters in American Fork, Utah.

ROLE RESPONSIBILITIES

  • Design, build, and maintain scalable, production-grade ELT pipelines that move data reliably from diverse source systems into a clean, well-governed data platform.

  • Architect and own LVT's Snowflake environment—performance tuning, dynamic tables, clustering strategies, storage optimization, and cost governance.

  • Develop and enforce semantic models that expose consistent, trusted business definitions across all reporting and analytics surfaces.

  • Define and drive data engineering standards that improve quality, reliability, and productivity across teams—not just within BI.

  • Lead cross-functional data initiatives, partnering with engineering, finance, operations, and product to deliver solutions that drive meaningful organizational outcomes.

  • Establish data quality infrastructure—implement validation, monitoring, and alerting frameworks that surface problems before they reach stakeholders.

  • Contribute to AI data infrastructure—support RAG pipelines, vector storage, and Snowflake Cortex integrations as one component of the broader engineering scope.

  • Mentor junior engineers and build strong partnerships with executives and business stakeholders to drive adoption of data solutions.

OUR IDEAL CANDIDATE

  • Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python, and modern ELT tooling (dbt, Fivetran, Airflow, or equivalents). You've owned systems under pressure and know how to build for long-term reliability.

  • Snowflake Depth: Expert-level Snowflake experience—performance optimization, dynamic tables, data security, and Cortex familiarity. You know when and why to use each capability.

  • Semantic Modeling Ownership: Proven ability to design and maintain semantic or metrics layers that enforce consistent business logic across a complex, multi-team organization.

  • High-Impact Execution: You operate at the level of organizational strategy—your work influences competitive positioning, not just sprint delivery. You define standards, evaluate trade-offs, and build for the long term.

  • Data Quality Obsession: Reliability is non-negotiable. You instrument pipelines with observability, validation, and alerting from day one, and you define the standards others follow.

  • Leadership & Ownership: You own work from scoping through production and beyond. You influence company-wide technology decisions and mentor others along the way—without waiting to be told what to do.

  • AI Infrastructure Fluency: Familiar with AI/ML data patterns—RAG architectures, vector stores, embedding pipelines—and able to build the data infrastructure those systems require.

  • Executive Communication: You build partnerships with executives and cross-functional stakeholders, translating complex technical trade-offs into clear recommendations that earn trust and drive adoption.

BENEFITS

We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.

LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.