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Entry Data Engineer Jobs in Utah (NOW HIRING)

AI Revenue Engineer, Sales | Full-Time | On-Site (Provo, UT) About Atonom At Atonom.ai, we are ... Connect our CRM, data sources, and internal tools so information flows without manual entry.

AI Revenue Engineer, Sales | Full-Time | On-Site (Provo, UT) About Atonom At Atonom.ai, we are ... Connect our CRM, data sources, and internal tools so information flows without manual entry.

Engineer I, Quality

Salt Lake City, UT ยท On-site

$69K - $90K/yr

The Manufacturing Quality Engineer I is an entry/developing role that supports day-to-day ... Follow GDP, data integrity, document-control, training, and procedural requirements to maintain ...

Engineer I, Quality

Salt Lake City, UT ยท On-site

$69K - $90K/yr

The Manufacturing Quality Engineer I is an entry/developing role that supports day-to-day ... Follow GDP, data integrity, document-control, training, and procedural requirements to maintain ...

Data / Low Voltage Technician

Bountiful, UT ยท On-site

$19.50 - $26.75/hr

... entry, IoT/smart home, audio amp; video). Duties/Responsibilities: * Assist project resources ... Basic configuration, programming, and troubleshooting of low voltage systems. * Maintain and ...

Showing results 41-60

Entry Data Engineer information

See Utah salary details

$10

$17

$25

How much do entry data engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for entry data engineer in Utah is $17.73, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.90 per hour, depending on experience, location, and employer.

What does an entry data engineer do?

An Entry Data Engineer is responsible for assisting in the design, development, and maintenance of data pipelines and databases. They work with raw data, helping to clean, organize, and prepare it for analysis by more senior engineers or data scientists. Their tasks often include writing basic SQL queries, automating data collection processes, and supporting data quality initiatives. Entry-level data engineers typically work under the guidance of more experienced team members to learn best practices and develop their technical skills.

What are the key skills and qualifications needed to thrive as an entry data engineer?

To thrive as an Entry Data Engineer, you need a solid understanding of programming (often Python or SQL), data structures, and database fundamentals, typically supported by a relevant degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or Azure), and version control systems like Git is commonly required. Strong analytical thinking, attention to detail, and effective communication help you collaborate with teams and troubleshoot data issues. These skills are crucial to ensure high-quality, efficient data pipelines and enable data-driven decision-making within organizations.

What are some common challenges faced by entry data engineers during their first year on the job?

Entry-level data engineers often encounter challenges such as learning new data pipeline tools, understanding complex legacy systems, and adapting to the fast pace of data-driven environments. Balancing requests from multiple stakeholders and ensuring data accuracy can also be demanding, especially when dealing with large datasets. However, most teams provide mentorship and training to help new hires get up to speed, and collaboration with experienced engineers is encouraged to support skill development.

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

AspectEntry Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; knowledge of SQL, Python, ETL toolsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, reporting teams, data visualization tools
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, consulting, retail

Entry Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data to generate insights. Both roles require SQL and data handling skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on analysis and reporting.

What are popular job titles related to Entry Data Engineer jobs in Utah?

For Entry Data Engineer jobs in Utah, the most frequently searched job titles are:

Infographic showing various Entry Data Engineer 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 $36,874 per year, or $17.7 per hour.

AI Revenue Engineer

Provo, UT โ€ข On-site

Full-time

Medical, PTO

Re-posted 17 days ago


Job description

AI Revenue Engineer, Sales | Full-Time | On-Site (Provo, UT)


About Atonom

At Atonom.ai, we are defining the Autonomous Era by building the world's first true "Cloud Employees," intelligent AI agents capable of executing complex work across Sales, Marketing, Support, and HR. We believe growth should be limited only by ambition, not headcount. Join us as we build the infrastructure for the next generation of work.

Role
This is not a traditional sales operations role. We are looking for someone who builds, someone who sees a manual, repetitive part of the sales motion and replaces it with a system that runs itself.

As an AI Revenue Engineer, you will design, build, and maintain the AI agents and automations that move deals through our pipeline. You will work at the intersection of our sales process and our own product, using Claude and the tools we build to track deal flow, surface what matters, and remove the manual work that slows a deal down. If you are excited by the idea of engineering how revenue actually gets generated, at a company in the business of autonomous intelligence, this role was designed for you.


What You'll Do

  • Workflow Automation: Build and maintain AI-driven workflows that move deals through the pipeline, including lead routing, enrichment, follow-up, handoffs, and stage progression.
  • Cloud Employees: Design, deploy, and refine AI agents that handle real sales work, from research and outreach drafting to CRM hygiene and deal updates.
  • Pipeline Visibility: Build dashboards and reporting that give the sales team and leadership a clear, current view of deal flow, conversion, and bottlenecks.
  • Optimization: Find where deals stall or where reps lose time, then engineer the system that fixes it. Measure the result.
  • Tooling & Integration: Connect our CRM, data sources, and internal tools so information flows without manual entry.
  • Process Improvement: Document how the sales motion works today and improve it, with a bias toward automation and measurable outcomes.

Who You Are

  • Technologically fluent: You hold a bachelor's degree in a related field, or you have equivalent hands-on experience building and shipping. You have up to 2 years of experience or relevant internships.
  • AI-forward: You already build with AI tools. You know how to prompt effectively, chain steps into reliable workflows, and think critically about where an agent should and shouldn't run unattended.
  • A builder: You are comfortable with automation tools, APIs, and light scripting. You would rather wire two systems together than copy data between them by hand.
  • Commercially minded: You understand how a deal moves from first touch to closed-won, and you care that your work moves that number.
  • Systems thinker: You do not just complete tasks. You notice inefficiencies and ask how the whole process could work better.
  • Detail-oriented and dependable: You check your work, ask clarifying questions, and care about getting it right, because a broken workflow breaks a rep's day.

Your First 90 Days

  • Month 1: Learn the business, the sales motion, and the current pipeline and tooling. Begin identifying where AI and automation can add leverage.
  • Month 2: Take ownership of one part of the pipeline and ship your first AI-driven workflow or agent into live use.
  • Month 3: Deliver a measurable improvement to deal flow, such as faster cycle time, cleaner data, or reclaimed rep hours, and start building the next.

Technical Skills

  • Automation platforms and workflow tooling
  • AI tools, primarily Claude (agents, drafting, automation)
  • APIs and light scripting (bonus: experience integrating CRMs and data sources)
  • CRM familiarity (e.g., HubSpot, Salesforce)
  • Google Suite

Why Join

  • Direct development: You will work closely with the Marketing leadership team, not handed a manual and left alone.
  • Broad exposure: Every channel from day one, not a single narrow function.
  • Real responsibility: Strong performance creates a clear path toward a senior role as the company scales.
  • Front-row seat to AI: You will build with the tools we make, not just read about them.

Benefits

  • Start building your PTO hours on Day 1.
  • Access to a competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary