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Entry Level Ai Data Engineer Jobs (NOW HIRING)

Salary: $50,000 to $90,000 AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent ...

AI Data Engineer

Detroit, MI

$113K - $136K/yr

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and ...

AI Data Engineer

Provo, UT

$109K - $131K/yr

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 ...

AI Data Engineer

Provo, UT ยท On-site

$50K - $90K/yr

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 ...

AI Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

We are seeking an experienced AI Data Engineer with a strong Logical Database Administration (DBA) background to support enterprise AI initiatives. This role is heavily focused on database ...

New

Generative AI Data Engineer III

Atlanta, GA ยท On-site

$110K - $132K/yr

Share this job: Share: Share Generative AI Data Engineer III with Facebook Share Generative AI Data Engineer III with LinkedIn Share Generative AI Data Engineer III with Twitter Caution against ...

AI Data Engineer

Fort Lauderdale, FL ยท On-site

$109K - $131K/yr

Broward Health is a healthcare organization focused on providing quality services, and they are seeking an AI Data Engineer. The role involves designing and maintaining data pipelines for AI model ...

Lead Generative AI Data Engineer III

Austin, TX ยท On-site

$101K - $133K/yr

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AI Data Engineer

Philadelphia, PA

$115K - $138K/yr

Mission Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and ...

Lead Generative AI Data Engineer III

Atlanta, GA ยท On-site

$98K - $129K/yr

Share this job: Share: Share Lead Generative AI Data Engineer III with Facebook Share Lead Generative AI Data Engineer III with LinkedIn Share Lead Generative AI Data Engineer III with Twitter ...

AI Data Engineer

Philadelphia, PA

$115K - $138K/yr

Mission Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and ...

AI Data Engineer

Philadelphia, PA ยท On-site +1

$115K - $138K/yr

Mission Join the Data Science team as an AI Data Engineer responsible for building the data foundations that make enterprise AI products accurate, explainable, and scalable. This role will design and ...

AI Data Engineer

Baltimore, MD ยท Hybrid

$113K - $136K/yr

Rowe Price is seeking an innovative Data AI Engineer to guide the development and deployment of scalable AI and data solutions that enable next generation data foundations and capabilities leveraging ...

AI Data Engineer Staff

Fort Worth, TX ยท On-site

$109K - $131K/yr

We are seeking a seniorlevel AI Data Engineer to design, build, and maintain scalable data pipelines and warehouse solutions that fuel AI/ML initiatives across the organization. The ideal candidate ...

AI Data Engineer

Boston, MA ยท Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

AI Data Engineer

New York, NY ยท Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

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Entry Level Ai Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jul 18, 2026, the average yearly pay for entry level ai data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

Entry level AI data engineers often encounter challenges such as learning to manage large datasets efficiently, understanding complex data pipelines, and adapting to rapidly evolving AI tools and frameworks. Collaborating with data scientists and senior engineers can be initially overwhelming, but it's a great opportunity to learn industry best practices. Balancing multiple tasks like data cleaning, preprocessing, and supporting model deployment while honing programming skills is typical. Proactively seeking feedback and asking questions is key to overcoming these hurdles and growing in the role.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior data scientists or AI research directors, which can offer compensation in that range including salary, bonuses, and stock options. Entry-level AI data engineering positions usually have lower salaries, but compensation can increase significantly with experience, skills, and responsibilities in the field.

What are the key skills and qualifications needed to thrive as an Entry Level AI Data Engineer, and why are they important?

To thrive as an Entry Level AI Data Engineer, you need proficiency in programming languages like Python or Java, a foundational understanding of data structures and algorithms, and a relevant degree in computer science or a related field. Familiarity with data processing frameworks (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and basic knowledge of machine learning libraries are typically expected. Strong analytical thinking, attention to detail, and effective teamwork set outstanding candidates apart. These skills and qualities are crucial for building reliable data pipelines, supporting AI models, and ensuring efficient collaboration within technical teams.

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

AspectEntry Level Ai Data EngineerData Analyst
Required SkillsBasic programming, data modeling, understanding of AI/ML conceptsData visualization, statistical analysis, SQL proficiency
CertificationsPython, SQL, entry-level AI/ML coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, AI startups, data-driven teamsBusiness, marketing, finance sectors
Job FocusBuilding AI models, data pipelines, integrating AI solutionsInterpreting data, creating reports, supporting decision-making

While both roles involve working with data, Entry Level Ai Data Engineers focus on developing AI models and data infrastructure, whereas Data Analysts primarily analyze data to generate insights. The former requires some knowledge of AI/ML, while the latter emphasizes statistical and visualization skills.

What engineer makes 500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. These roles typically require advanced skills, extensive experience, and often work in high-demand industries like technology or finance.

How can I become an AI engineer with no experience?

To become an entry-level AI data engineer with no experience, focus on building foundational skills in programming languages like Python, learn about data management and machine learning concepts, and complete online courses or certifications in AI and data engineering. Gaining hands-on experience through personal projects, internships, or contributing to open-source initiatives can also help demonstrate your abilities to employers.

What is an Entry Level AI Data Engineer?

An Entry Level AI Data Engineer is a professional who helps build and maintain data pipelines and infrastructure to support artificial intelligence and machine learning applications. They typically work with large volumes of data, ensuring it is properly collected, cleaned, and organized for analysis. Their responsibilities may include working with databases, data processing tools, and cloud platforms, as well as collaborating with data scientists and software engineers to enable AI-driven solutions. This role is ideal for recent graduates or those new to the field, providing foundational experience in data engineering within the context of AI.

Which 3 jobs will survive AI?

Entry Level AI Data Engineers are likely to continue being in demand as they develop and maintain AI models, requiring skills in data management, programming, and machine learning tools. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as data scientists, AI specialists, and cybersecurity analysts, are also expected to persist despite AI automation. These roles often require specialized knowledge and adaptability that AI cannot fully replicate yet.
More about Entry Level Ai Data Engineer jobs
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What are the most commonly searched types of Ai Data Engineer jobs? The most popular types of Ai Data Engineer jobs are:
What states have the most Entry Level Ai Data Engineer jobs? States with the most job openings for Entry Level Ai Data Engineer jobs include:

AI Data Engineer

Atonom

Provo, UT โ€ข On-site

Full-time

Medical, PTO

Re-posted 21 days ago


Job description

Salary: $50,000 to $90,000

AI Data Engineer

Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 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.