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Entry Level Data Mapping Jobs (NOW HIRING)

AI Data Engineer

Provo, UT ยท On-site

$109K - $131K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... mappings, and QA checks. * Troubleshoot data and integration issues with support from senior team ...

AI Data Engineer

Provo, UT ยท On-site

$50K - $90K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... mappings, and QA checks. * Troubleshoot data and integration issues with support from senior team ...

AI Data Engineer

Provo, UT ยท On-site

$109K - $131K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... mappings, and QA checks. * Troubleshoot data and integration issues with support from senior team ...

This is an Entry-Level position, but candidates with 1-2 years of experience will be considered ... Responsibilities โ€ข Mapping and analyzing quantitative data โ€ข Preparing management reports โ€ข ...

This is an Entry-Level position, but candidates with 1-2 years of experience will be considered ... Responsibilities โ€ข Mapping and analyzing quantitative data โ€ข Preparing management reports โ€ข ...

The GIS Technician supports the spatial data, mapping, and geographic information system (GIS ... This is an entry-level, developmental position intended for recent graduates with foundational GIS ...

Imagery Technician

Rochester, MN ยท On-site

$22 - $35/hr

Twin Cities North Metro (Wyoming, MN) Turn Aerial Data into Powerful Mapping Solutions Do you enjoy ... Launch Your Career This is an excellent entry-level opportunity to build a rewarding career in the ...

Data analyst I

Austin, TX ยท On-site

$25 - $28/hr

Power BI / Data Visualization. Entry level C++ and/or CSS. GIS. AutoCAD. Revit. LOCATION ... maps and graphs from provided materials such as previous drawings, layouts, detailed sketches and ...

Business Data Analyst

Milwaukee, WI ยท On-site

$55K - $120K/yr

Interpret Duck Creek policy XML data structures and map these to Insights staging tables and ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

Business Data Analyst

Milwaukee, WI ยท On-site +1

$55K - $120K/yr

Interpret Duck Creek policy XML data structures and map these to Insights staging tables and ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

Business Data Analyst

Naperville, IL ยท On-site +1

$55K - $120K/yr

Interpret Duck Creek policy XML data structures and map these to Insights staging tables and ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

Integration Developer

Overland Park, KS ยท On-site

$60K - $80K/yr

Most entry-level engineering jobs hand you a ticket queue and a five-year wait for anything ... Write transformation logic, data mappings, and validation rules * Develop scripts and small ...

Integration Developer

Overland Park, KS ยท On-site

$60K - $80K/yr

Most entry-level engineering jobs hand you a ticket queue and a five-year wait for anything ... Write transformation logic, data mappings, and validation rules * Develop scripts and small ...

Showing results 21-40

Entry Level Data Mapping information

See salary details

$13

$32

$61

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

As of Sep 10, 2026, the average hourly pay for entry level data mapping in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is entry level data mapping?

Entry level data mapping refers to the process of matching data fields from one database or source to another, typically as part of data migration, integration, or transformation projects. Individuals in this role use software tools to identify relationships between different data sets, check for accuracy, and ensure that data is correctly transferred between systems. This position is ideal for those new to data management and often requires attention to detail, basic technical skills, and the ability to follow established mapping protocols. Entry level data mapping professionals may work closely with data analysts, engineers, or IT teams to support larger data projects.

What are the key skills and qualifications needed to thrive as an entry level data mapping specialist?

To thrive as an Entry Level Data Mapping Specialist, you need a solid understanding of data structures, basic database concepts, and attention to detail, often supported by a relevant degree or coursework. Familiarity with data mapping tools, spreadsheets (such as Microsoft Excel), and sometimes beginner-level SQL is typically required. Analytical thinking, problem-solving abilities, and clear communication are valuable soft skills for collaborating with team members and interpreting data requirements. These skills ensure accurate data integration, minimize errors, and support effective data-driven decision-making within organizations.

What are some common challenges faced by entry level data mapping professionals, and how can they be overcome?

Entry-level data mapping professionals often encounter challenges such as understanding complex data structures, dealing with incomplete or inconsistent data, and learning new mapping tools or software. Overcoming these challenges involves strong attention to detail, regular communication with team members or data owners to clarify requirements, and proactively seeking training or mentorship on industry-standard tools. Building a habit of documenting mapping processes and asking questions early can also help ensure accuracy and confidence in your work.

What is the difference between Entry Level Data Mapping vs Data Analyst?

AspectEntry Level Data MappingData Analyst
Required CredentialsHigh school diploma or associate's degree, basic understanding of data toolsBachelor's degree in related field, knowledge of data analysis software
Work EnvironmentData entry and mapping in office settings, often under supervisionAnalyzing data sets, creating reports, collaborating with teams
Employer & Industry UsageUsed in data management, IT, and administrative rolesCommon in finance, marketing, healthcare, and tech industries
Search & Comparison IntentUnderstanding entry-level data roles, basic data tasksAdvanced data skills, analysis, and reporting capabilities

Entry Level Data Mapping focuses on organizing and inputting data with minimal analysis, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights. While both roles involve working with data, Data Analysts typically have more specialized training and responsibilities.

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Infographic showing various Entry Level Data Mapping job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

AI Data Engineer

Provo, UT โ€ข On-site

$109K - $131K/yr

Full-time

Medical, PTO

Re-posted 15 days ago


Key responsibilities

  • Configure and deploy AI Cloud Employees for customers, focusing 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, trace problems, find root causes, and work toward solutions.


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.