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Data Engineer Entry Level Jobs in Provo, UT (NOW HIRING)

Atonom

Data Engineer

Provo, UT

$109K - $131K/yr

Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Atonom

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Atonom

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Atonom

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Atonom

AI Data Engineer

Provo, UT

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

WSP

Early Career Civil Engineer

South Jordan, UT

Perform routine engineering functions and provide entry-level technical assistance on various ... location data, statistical documentation, engineering studies and surveys, and construction.

WSP

Early Career Civil Engineer

South Jordan, UT · On-site

Perform routine engineering functions and provide entry-level technical assistance on various ... location data, statistical documentation, engineering studies and surveys, and construction.

Raytheon

Navigation/IMU Engineer II

Provo, UT

We are seeking entry-level candidates willing to collaborate, innovate, and team with our engineers ... performance data. The engineer shall have a basic understanding of serial interfaces, hardware ...

Raytheon

RF Mechanical Engineer II

Provo, UT

This is an entry-level Mechanical Engineer position for an individual with educational experience ... Experience with creation of Technical Data Packages (TDPs) using Geometric Dimensioning and ...

Texas Instruments

Product Test Technician

Lehi, UT

... engineering requests alongside routine tasks. Preferred Technical Skills: * Experience with data ... * Entry-Level Technician: Focuses on mastery of the Map Review process, executing inking ...

Texas Instruments

Product Test Technician

Lehi, UT · On-site

... engineering requests alongside routine tasks. Preferred Technical Skills: * Experience with data ... * Entry-Level Technician: Focuses on mastery of the Map Review process, executing inking ...

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All JobsData Engineer JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Provo, UT

Data Engineer Entry Level information

See Provo, UT salary details

$42.1K

$122.7K

$167.9K

How much do data engineer entry level jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data engineer entry level in Provo, UT is $122,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,300.00 and $130,100.00 per year, depending on experience, location, and employer.

What does a data engineer entry level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an entry level data engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Provo, UT?

The most popular types of Data Engineer jobs in Provo, UT are:

What are popular job titles related to Data Engineer Entry Level jobs in Provo, UT?

For Data Engineer Entry Level jobs in Provo, UT, the most frequently searched job titles are:

What job categories do people searching Data Engineer Entry Level jobs in Provo, UT look for?

The top searched job categories for Data Engineer Entry Level jobs in Provo, UT are:

What cities near Provo, UT are hiring for Data Engineer Entry Level jobs?

Cities near Provo, UT with the most Data Engineer Entry Level job openings:

Data Engineer Entry Level jobs near you
Infographic showing various Data Engineer Entry Level job openings in Provo, UT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,707 per year, or $59 per hour.

Data Engineer

Provo, UT

Atonom
See more jobs at Atonomexternal

$109K - $131K/yr

Full-time

Medical, PTO

Re-posted 17 hours ago

Job description

Data Engineer

Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years

ABOUT ATONOM

Atonom.ai builds Cloud Employees: intelligent AI agents that execute complex work across Sales, Marketing, Support, and HR. We believe growth should be limited by ambition, not headcount. We move beyond simple automation to genuine autonomy, empowering businesses to scale instantly. Join us as we build the infrastructure for the next generation of work.

THE ROLE

As a Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly, work directly with clients, and see the impact of your work from day one. You don't need years of experience. You need curiosity, technical aptitude, and the drive to figure things out.

WHAT YOU'LL DO

  • Build and maintain data integrations that power AI Cloud Employees for customers, connecting systems, mapping fields, and helping ensure data quality.
  • Join client calls to understand data environments, source systems, and business requirements, then help translate them into working data flows.
  • Troubleshoot data pipeline and integration issues with support from senior engineers. Trace data through systems and work toward solutions.
  • Document data architectures, integration patterns, and technical playbooks for the implementation team.
  • Share product feedback with Engineering and Product teams, including data handling limitations, schema gaps, and integration pain points.

WHO YOU ARE

  • Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.
  • Comfortable getting into the weeds with data. You've written queries, worked with APIs, or built something that involved moving data from one place to another.
  • Interested in LLMs and prompt engineering. You don't need to be an expert, but you understand the basics of how AI models consume and produce data.
  • A clear communicator who can explain data workflows and technical decisions to both engineers and non-technical clients.
  • Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous situations.

YOUR FIRST 90 DAYS

  • Month 1: Learn the Atonom platform inside and out. Shadow senior team members on client calls and implementations. Get certified on internal tooling.
  • Month 2: Take ownership of your first customer implementations with senior support. Begin contributing to internal documentation and playbooks.
  • Month 3: Run implementations with increasing independence. Present learnings and customer pain points to the Product team.

TECHNICAL SKILLS (NICE TO HAVE)

  • Exposure to workflow automation tools (Zapier, Make, or similar).
  • Basic understanding of APIs, webhooks, or data integrations.
  • Familiarity with SQL, Python, or JavaScript.
  • Experience with CRMs like Salesforce or HubSpot.
  • Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional).

WHY JOIN

  • Real AI work. Not research papers. Production agents that generate measurable ROI for real businesses.
  • Mentorship built in. Learn from experienced specialists who invest in your growth.
  • Career velocity. High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.
  • Impact from day one. Small team, fast shipping, your contributions matter immediately.

BENEFITS

  • PTO accrual starts on day one.
  • Competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary.

Apply