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Ai Data Engineer Jobs (NOW HIRING)

Atonom

AI Data Engineer

Provo, UT · 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 ...

Inficare Technologies

AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

AI Data Engineer Location : New York (its day 1 onsite) Long Term Description We are seeking a highly skilled and innovative Data & AI Engineer to design, build, and deploy scalable data solutions ...

BetterUp

AI Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As an AI / Data Engineer (P3), you will sit at the intersection of data engineering and applied AI-building the pipelines, models, and systems that help our Sales, Marketing, and Customer Success ...

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA · 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 ...

Deloitte

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/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 ...

UJET

AI Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

We are hiring an AI Data Engineer to own the seam between "customer says yes" and "data is flowing into Spiral." You will run technical discovery with new customers, design the integration that ...

IntegriChain

AI Data Engineer

Philadelphia, PA · On-site

$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 ...

IntegriChain

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 ...

IntegriChain

AI Data Engineer

Philadelphia, PA · 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 ...

Creative Artists Agency (CAA)

AI - Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

The Role The AI Engineer is a member of a highly motivated CAA Tech team responsible for accelerating the creation of opportunity through the strategic use of data. In this role, you will design and ...

C the Signs

AI Data Engineer

Boston, MA · 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 ...

T. Rowe Price Associates, Inc.

AI Data Engineer

Baltimore, MD · 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 ...

C the Signs

AI Data Engineer

Boston, MA · 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 ...

Digital Links Inc

AI & Data Engineer (W2)

Glen Lyn, VA · Remote

$117K - $140K/yr

AI & Data Engineer Location: Remote US, light travel may be required Employment Type: Contract-to-Hire (6 Months) Top Skills: RAG, Snowflake, SQL/Oracle, JSON/API's, Python/Java, AWS S3, CI/CD (Git ...

C the Signs

AI Data Engineer

New York, NY · 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 ...

Lockheed Martin

AI Data Engineer Staff

Fort Worth, TX · 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 ...

C the Signs

AI Data Engineer

$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 ...

Team Red Dog

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

Team Red Dog is building a pipeline of qualified candidates for an anticipated AI Data Engineer 3 opening with one of our long-term enterprise technology clients. This opportunity is expected to ...

Quantifind

AI Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Who You Are You are an experienced data engineer with a modern AI tooling perspective. You've built and managed large-scale ingestion pipelines from discovery through to performant products in high ...

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All JobsAi Data Engineer Jobs

Ai Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do ai data engineer jobs pay per year?

As of Jul 7, 2026, the average yearly pay for 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 the key skills and qualifications needed to thrive in the Ai Data Engineer position, and why are they important?

To thrive as an AI Data Engineer, you need strong proficiency in programming (Python, SQL), data architecture, and machine learning fundamentals, typically supported by a degree in computer science, engineering, or a related field. Experience with big data tools (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and certifications like Google Professional Data Engineer are highly valuable. Excellent problem-solving skills, attention to detail, and effective team communication help distinguish top performers in this role. These abilities ensure the development of robust data pipelines and systems that power accurate AI solutions in a collaborative and rapidly-evolving environment.

What does an AI Data Engineer do?

An AI Data Engineer designs, builds, and manages data pipelines and infrastructure to support AI and machine learning models. They collect, process, and store large datasets, ensuring data is clean, structured, and accessible for AI applications. Their role involves working with big data tools, cloud platforms, and databases to optimize performance and scalability. Collaboration with data scientists and software engineers is essential to deploy and maintain AI solutions efficiently.

Which 3 jobs will survive AI?

AI Data Engineers will continue to be in demand as they design, implement, and maintain AI systems, requiring skills in data management, programming, and machine learning. Other roles likely to persist include cybersecurity specialists, who protect systems from evolving threats, and healthcare professionals, especially those involved in patient care and diagnostics, as these fields require human judgment and empathy. These jobs benefit from specialized skills, certifications, and the ability to adapt to technological advancements.

What are some common challenges an AI Data Engineer might face in their daily work?

AI Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and building scalable data pipelines to handle large volumes of information. Working closely with data scientists and software engineers requires strong collaboration and flexibility to adapt to shifting project requirements or algorithms changes. Keeping up with the latest developments in big data and machine learning tech stacks is also crucial. Overcoming these challenges provides a dynamic work environment and offers valuable learning and career growth opportunities.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research lead, often offering compensation in that range including salary, bonuses, and stock options. These roles usually require advanced skills in machine learning, deep learning, data engineering, and experience with tools like TensorFlow or PyTorch, often combined with leadership responsibilities and a strong track record of innovation.

What does an AI data engineer do?

An AI data engineer designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence and machine learning models. They work with large datasets, ensure data quality, and use tools like SQL, Python, and cloud platforms to enable efficient data processing and model training.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, specialized expertise, or working in high-demand industries like technology or finance.
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Ai Data Engineer jobs near you

AI Data Engineer

Atonom

Provo, UT • On-site

$50K - $90K/yr

Full-time

Medical, PTO

Posted 11 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.

Apply