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

Atonom

Associate AI Operations

Provo, UT · On-site

$50K - $90K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Share product feedback with Engineering and Product teams, including reliability trends ...

Atonom

Associate AI Operations

Provo, UT · On-site

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Share product feedback with Engineering and Product teams, including reliability trends ...

Atonom

AI Implementation Specialist

Provo, UT · On-site

$50K - $90K/yr

... 90,000 Experience: Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Familiar with LLMs and prompt engineering - you've gone beyond ChatGPT small talk and actually ...

Atonom

AI Strategy Consultant

Provo, UT · On-site

$50K - $90K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Share product feedback with Engineering and Product teams, including market patterns, feature gaps ...

Atonom

Associate AI Operations

Provo, UT · On-site

... 90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI ... Share product feedback with Engineering and Product teams, including reliability trends ...

Atonom

AI Strategy Consultant

Provo, UT · On-site

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Share product feedback with Engineering and Product teams, including market patterns, feature gaps ...

Atonom

Associate Deploy Consultant

Provo, UT · On-site

$50K - $90K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Share product feedback with Engineering and Product teams, including deployment friction, feature ...

Atonom

Associate Deploy Consultant

Provo, UT · On-site

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Share product feedback with Engineering and Product teams, including deployment friction, feature ...

Atonom

AI Implementation Specialist

Provo, UT · On-site

$50K - $90K/yr

... 90,000 Experience: Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Familiar with LLMs and prompt engineering - you've gone beyond ChatGPT small talk and actually ...

Atonom

Associate Deploy Consultant

Provo, UT · On-site

... 90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI ... Share product feedback with Engineering and Product teams, including deployment friction, feature ...

Atonom

AI Strategy Consultant

Provo, UT · On-site

... 90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI ... Share product feedback with Engineering and Product teams, including market patterns, feature gaps ...

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Entry Level Data Engineering information

See Provo, UT salary details

$10

$19

$29

How much do entry level data engineering jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for entry level data engineering in Provo, UT is $19.15, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $20.67 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

While most entry-level data engineering roles do not reach $500,000 annually, senior data engineers with extensive experience, specialized skills in big data tools, and leadership responsibilities can earn this level of compensation, often through a combination of salary, bonuses, and stock options in large tech companies or startups.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency but do not eliminate the core responsibilities of data engineering roles.

What is an Entry Level Data Engineering job?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an Entry Level Data Engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level position.

What are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Which is the hardest field in it?

In entry-level data engineering, the most challenging aspects often involve mastering complex data pipelines, understanding distributed systems, and working with large-scale databases. Developing proficiency in tools like SQL, Python, and cloud platforms such as AWS or Azure can also be demanding for newcomers. Building strong problem-solving skills and gaining certifications can help overcome these challenges.
What are the most commonly searched types of Data Engineering jobs in Provo, UT? The most popular types of Data Engineering jobs in Provo, UT are:
What are popular job titles related to Entry Level Data Engineering jobs in Provo, UT? For Entry Level Data Engineering jobs in Provo, UT, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Engineering jobs in Provo, UT look for? The top searched job categories for Entry Level Data Engineering jobs in Provo, UT are:
What cities near Provo, UT are hiring for Entry Level Data Engineering jobs? Cities near Provo, UT with the most Entry Level Data Engineering job openings:
Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Provo, UT as of July 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $39,824 per year, or $19.1 per hour.

Associate AI Operations

Atonom

Provo, UT • On-site

$50K - $90K/yr

Full-time

Medical, PTO

Re-posted 18 days ago

Job description

Associate AI Operations
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 Associate AI Operations, 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
  • Help monitor, maintain, and optimize deployed AI Cloud Employees across the customer base.
  • Join client calls to understand operational needs and translate them into AI workflow configurations, including prompt tuning, automation logic, and QA checks.
  • Troubleshoot operational issues with guidance from senior team members. Dig into logs, spot failure patterns, and help resolve problems quickly.
  • Document operational procedures, build runbooks, and contribute to internal knowledge bases.
  • Share product feedback with Engineering and Product teams, including reliability trends, performance gaps, and customer pain points.

WHO YOU ARE
  • Recent graduate (or soon to be) in Computer Science, Information Systems, Business Analytics, Operations Research, or a related field. Self-taught candidates with relevant experience are also welcome.
  • Operationally minded. You like understanding how systems work end-to-end and figuring out how to make them run more smoothly.
  • Interested in LLMs and prompt engineering. You've gone beyond basic usage and started exploring how AI performs in real-world workflows.
  • A strong communicator who can translate operational findings and technical details into language that non-technical audiences understand.
  • 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