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Entry Level Zapier Automation Jobs (NOW HIRING)

Atonom

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Exposure to workflow automation tools (Zapier, Make, or similar). * Basic understanding of APIs ...

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Exposure to workflow automation tools (Zapier, Make, or similar). * Basic understanding of APIs ...

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Exposure to workflow automation tools (Zapier, Make, or similar). * Basic understanding of APIs ...

Atonom

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Exposure to workflow automation tools (Zapier, Make, or similar). * Basic understanding of APIs ...

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Entry Level Zapier Automation information

What is an entry level Zapier automation job?

Entry level Zapier automation jobs involve creating and managing automated workflows, known as 'Zaps,' using the Zapier platform. These roles typically require basic technical skills, problem-solving abilities, and attention to detail. Entry-level professionals help businesses streamline repetitive tasks by connecting different apps and services without needing extensive programming knowledge. Common responsibilities include setting up new automations, troubleshooting issues, and maintaining existing workflows. These positions are ideal for those starting their careers in automation, process improvement, or no-code development.

What are the key skills and qualifications needed to thrive as an entry level Zapier automation specialist, and why are they important?

To thrive as an Entry Level Zapier Automation Specialist, you need a solid understanding of workflow automation concepts, basic programming logic, and experience with web-based applications. Familiarity with Zapier's platform, APIs, and popular tools like Google Workspace or Slack is highly beneficial, though formal certifications can be an advantage. Strong attention to detail, problem-solving abilities, and clear communication set standout candidates apart. These skills are crucial for efficiently building, troubleshooting, and maintaining reliable automated workflows that enhance business productivity.

What are some common challenges faced by entry level Zapier automation specialists, and how can they be overcome?

Entry-level Zapier automation specialists often face challenges such as understanding complex workflows, troubleshooting errors across multiple apps, and keeping up with frequent platform updates. To overcome these challenges, it's helpful to start with simple automations and gradually build up to more complex scenarios, making use of Zapier's community forums and documentation. Regularly testing Zaps and collaborating with team members can also help identify issues early and ensure that automations align with business needs. Effective communication with stakeholders is essential for clarifying requirements and streamlining processes.

What is the difference between Entry Level Zapier Automation vs Data Entry Specialist?

AspectEntry Level Zapier AutomationData Entry Specialist
Required CredentialsBasic technical skills, familiarity with automation toolsHigh school diploma, data management skills
Work EnvironmentRemote or office, tech-focusedOffice or remote, administrative setting
Industry UsageAutomation, tech, digital marketingAdministrative, business support
Common Search/ComparisonYesNo

Entry Level Zapier Automation roles focus on creating and managing automated workflows using tools like Zapier, requiring basic technical skills. Data Entry Specialists primarily handle manual data input and management, often in administrative settings. While both roles may work in similar environments, Zapier Automation emphasizes automation skills, whereas Data Entry focuses on manual data handling.

Does Entry Level Zapier Automation offer remote positions?

Entry Level Zapier Automation roles are often available as remote positions, especially since automation and digital tools are typically performed online. Many employers in this field offer remote work options, requiring familiarity with tools like Zapier and basic technical skills. However, availability can vary by company and specific job posting.

Does Entry Level Zapier Automation pay well?

Entry level Zapier automation roles typically offer starting salaries that are below average for tech-related positions but can vary depending on the industry and location. As these roles often require basic automation skills and familiarity with tools like Zapier, compensation may increase with experience and additional technical skills. Overall, pay is generally modest but can grow with skill development and certifications.

Is Entry Level Zapier Automation beginner friendly?

Entry Level Zapier Automation roles are generally suitable for beginners, as they often involve learning to create simple automated workflows called Zaps. Basic understanding of tools like email, spreadsheets, and web apps is helpful, and many employers provide training or expect candidates to learn on the job.
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Entry Level Zapier Automation jobs near you
Infographic showing various Entry Level Zapier Automation job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Data Engineer

Atonom

Provo, UT • On-site

$109K - $131K/yr

Full-time

Medical, PTO

Re-posted 8 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.