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No Experience Data Engineer Jobs in Draper, UT (NOW HIRING)

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 ...

Salary: $50,000 to $90,000 Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI ...

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 ...

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 ...

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 ...

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 ...

Salary: $50,000 to $90,000 AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent ...

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 ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Professional experience writing production-ready Python code that leverages modern software ... Experience working on a team of developers, maintaining a shared codebase, and having your code ...

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Showing results 1-20

No Experience Data Engineer information

See Draper, UT salary details

$41.6K

$121.3K

$165.9K

How much do no experience data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for no experience data engineer in Draper, UT is $121,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $128,500.00 per year, depending on experience, location, and employer.

What is the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

What is a no experience data engineer?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

How can entry-level data engineers quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

What skills and qualifications are needed to thrive as a no experience data engineer?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.
What are the most commonly searched types of Data Engineer jobs in Draper, UT? The most popular types of Data Engineer jobs in Draper, UT are:
What are popular job titles related to No Experience Data Engineer jobs in Draper, UT? For No Experience Data Engineer jobs in Draper, UT, the most frequently searched job titles are:
What job categories do people searching No Experience Data Engineer jobs in Draper, UT look for? The top searched job categories for No Experience Data Engineer jobs in Draper, UT are:
What cities near Draper, UT are hiring for No Experience Data Engineer jobs? Cities near Draper, UT with the most No Experience Data Engineer job openings:
Infographic showing various No Experience Data Engineer job openings in Draper, UT as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $121,265 per year, or $58.3 per hour.

$109K - $131K/yr

Full-time

Medical, PTO

Re-posted 15 days 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.