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

... 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 ...

... 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 ...

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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

Showing results 21-29

Data Engineer Entry Level information

See Provo, UT salary details

$42.6K

$124.2K

$169.9K

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

As of Jul 26, 2026, the average yearly pay for data engineer entry level in Provo, UT is $124,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,600.00 and $131,600.00 per year, depending on experience, location, and employer.

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 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 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 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:
Infographic showing various Data Engineer Entry Level job openings in Provo, UT as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,157 per year, or $59.7 per hour.

Associate Deploy Consultant

Atonom

Provo, UT

Full-time

Medical, PTO

Posted 12 hours ago


Job description

Associate Deploy Consultant

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 Deploy Consultant, 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 deploy AI Cloud Employees for customers, supporting the process from kickoff through go-live alongside senior team members.
  • Join client calls to scope requirements, align stakeholders, and translate business needs into AI workflows, including prompt design, automations, and QA checks.
  • Troubleshoot deployment issues with support from the team. Identify blockers, work through fixes, and help keep projects on track.
  • Document deployment processes, build reusable templates, and contribute to consulting playbooks.
  • Share product feedback with Engineering and Product teams, including deployment friction, feature gaps, and customer requests.

WHO YOU ARE

  • Recent graduate (or soon to be) in Business, Information Systems, Management Consulting, Communications, or a related field. Equivalent experience is also welcome.
  • Client-oriented and a quick learner. You enjoy solving problems for people and feel comfortable picking up new tools on the fly.
  • Interested in LLMs and prompt engineering. You've spent some time with AI tools and have a sense of what they can do in a real work context.
  • A strong communicator who can guide clients through technical processes with patience and clarity, even when things get complex.
  • 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