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Senior Ibm Data Engineer Jobs in Utah (NOW HIRING)

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

THE ROLE As a AI 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 ...

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Strong ETL Experience (especially in extraction and ingestion of 3rd party data) Nice-to-haves: * Familiarity with machine learning concepts * Familiarity with asynchronous programming Benefits Key ...

Senior Big Data Engineer

Salt Lake City, UT · On-site

$54 - $71.25/hr

Responsibilities • Participate in the engineering and administration of big data systems. • Apache Storm/Java development for both data transformation and augmentation. • Employ best practices ...

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

New

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

New

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

New

Sr Data Solution Engineer

Lehi, UT · On-site

$51.75 - $67/hr

This senior individual contributor role requires deep data engineering expertise and strong product thinking. The candidate can turn ambiguous business problems into practical, production-ready ...

New

Sr Data Solution Engineer

Lehi, UT · On-site

$51.75 - $67/hr

This senior individual contributor role requires deep data engineering expertise and strong product thinking. The candidate can turn ambiguous business problems into practical, production-ready ...

Sr Data Solution Engineer

Lehi, UT · On-site

$51.75 - $67/hr

This senior individual contributor role requires deep data engineering expertise and strong product thinking. The candidate can turn ambiguous business problems into practical, production-ready ...

Showing results 21-40

Senior Ibm Data Engineer information

What is the difference between Senior Ibm Data Engineer vs Data Architect?

AspectSenior Ibm Data EngineerData Architect
Required CredentialsBachelor's in CS, Data Engineering certifications, IBM-specific trainingBachelor's or Master's in CS, Data Management, or related field; certifications like CDMP
Work EnvironmentData pipelines, ETL processes, cloud platforms, IBM toolsData modeling, architecture design, strategy planning
Employer & Industry UsageTech companies, finance, healthcare using IBM data solutionsLarge enterprises, consulting firms, cloud providers

While both roles involve data management, the Senior Ibm Data Engineer focuses on building and maintaining data pipelines using IBM tools, whereas the Data Architect designs overall data systems and strategies. The engineer implements the architecture, while the architect plans and designs it for scalability and efficiency.

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Cities in Utah with the most Senior Ibm Data Engineer job openings:

AI Data Engineer

Atonom

Provo, UT • On-site

$50K - $90K/yr

Full-time

Medical, PTO

Re-posted 21 days ago


Job description

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 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 AI 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
  • Configure and deploy AI Cloud Employees for customers, with a focus on data integrations, API connections, and workflow logic.
  • Join client calls to understand data environments and help translate business needs into AI workflows, including prompt design, data mappings, and QA checks.
  • Troubleshoot data and integration issues with support from senior team members. Trace problems, find root causes, and work toward solutions.
  • Document data patterns, integration playbooks, and technical reference materials that help the whole team move faster.
  • Share product feedback with Engineering and Product teams, including data handling gaps, integration limitations, and customer pain points.

WHO YOU ARE
  • Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also welcome.
  • Comfortable working with data. Maybe you've written SQL queries, built a small pipeline, worked with APIs, or cleaned up messy datasets in a class or side project.
  • Interested in LLMs and prompt engineering. You don't need to be an expert, but you've explored how AI models work beyond surface-level usage.
  • A clear communicator who can walk non-technical teammates and clients through technical concepts without jargon.
  • 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.