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Data Engineer With Ai Jobs (NOW HIRING)

GDH

PAM Engineer (with AI experience)

Dallas, TX · On-site

$82.91 - $86.56/hr

Maintain and enhance cloud-native architectures, APIs, distributed systems, and data pipelines ... AI Platform Engineer, or similar role. * Expertise with enterprise PAM platforms such as CyberArk ...

GEI Consultants

Data Engineer

Dallas, TX

$90K - $150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

GEI Consultants

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

InfiCare

Senior Java Engineer with AI experience

Phoenix, AZ · On-site

$124K - $163K/yr

Role: Senior Java Engineer with AI Location: Phoenix, AZ (5 days Onsite role)/ ONLY LOCAL ... Experience using AI tools for data mining and automation * Comfortable working with CLI-based tools ...

GEI Consultants

Data Engineer

Denver, CO

$90K - $150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

GEI Consultants

Data Engineer

Rancho Cordova, CA

$90K - $150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

GEI Consultants

Data Engineer

Atlanta, GA

$90K - $150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

GEI Consultants

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

GEI Consultants

Data Engineer

Wakefield, MA

$90K - $150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

GEI Consultants

Data Engineer

West Palm Beach, FL

$90K - $150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

GEI Consultants

Data Engineer

Manhattan, NY

$90K - $150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

GEI Consultants

Data Engineer

Wakefield, MA · On-site

$120K - $145K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

cloudingest inc

Senior Security Engineer with AI

Miami, FL · On-site

$109K - $150K/yr

The ideal candidate will possess deep expertise in scripting, security tooling, data analysis, and ... Work closely with Data Science and Engineering teams to operationalize AI/ML-driven hygiene ...

New

Accertify, Inc.

Senior AI Data Engineer

$68.75 - $92/hr

Partner with product managers, data scientists, engineers, and stakeholders to align AI solutions with business needs. Qualifications : Required : • Bachelor's or Master's degree in Computer ...

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

... with AI Developers to ensure high-quality, low-latency data access for model training • Manage and optimize Cloud Composer DAGs and pipeline orchestration • Implement data quality monitoring ...

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All JobsData Engineer With Ai Jobs

Data Engineer With Ai information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer with ai jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data engineer with ai 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.

Will AI take data engineer jobs?

AI is transforming data engineering by automating tasks such as data processing, integration, and pipeline management, but it is unlikely to fully replace data engineers. Instead, it shifts the role toward managing AI tools, developing scalable data architectures, and ensuring data quality, requiring skills in programming, cloud platforms, and machine learning integration.

What is the difference between Data Engineer With Ai vs Data Engineer?

AspectData Engineer With AiData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI/ML toolsBachelor's in CS, Data Science, or related; strong SQL and programming skills
Work EnvironmentData teams, AI/ML projects, cloud platformsData pipelines, database management, cloud environments
Employer & Industry UsageTech companies, AI startups, data-driven organizationsFinance, healthcare, tech, and other industries
Common Search & Comparison IntentUnderstanding AI integration in data engineeringGeneral data engineering roles and skills

Data Engineer With Ai professionals focus on integrating AI and machine learning into data pipelines, requiring knowledge of AI tools and algorithms. Data Engineers primarily build and maintain data infrastructure. While both roles share foundational skills, Data Engineer With Ai emphasizes AI/ML integration, making it suitable for organizations leveraging AI-driven insights.

Which 3 jobs will survive AI?

Data engineers with AI expertise are likely to continue thriving as they develop and maintain data pipelines, integrate AI models, and work with large datasets. Roles that require complex problem-solving, domain-specific knowledge, and human judgment—such as AI specialists, cybersecurity analysts, and healthcare professionals—are also expected to persist despite AI advancements. These jobs often involve skills that are difficult for AI to fully replicate, such as critical thinking and interpersonal communication.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior data scientists, or machine learning directors that offer compensation in this range. These positions often require advanced skills in AI, machine learning, and data engineering, along with extensive experience and leadership responsibilities.

What engineer makes 500,000 a year?

Highly experienced data engineers with specialized skills in AI, machine learning, and big data technologies can earn salaries approaching or exceeding $500,000 annually, especially in senior or leadership roles at large tech companies. Such compensation often includes bonuses, stock options, and other incentives, and typically requires advanced certifications and extensive industry experience.
More about Data Engineer With Ai jobs
What cities are hiring for Data Engineer With Ai jobs? Cities with the most Data Engineer With Ai job openings:
What states have the most Data Engineer With Ai jobs? States with the most job openings for Data Engineer With Ai jobs include:
What job categories do people searching Data Engineer With Ai jobs look for? The top searched job categories for Data Engineer With Ai jobs are:
Data Engineer With Ai jobs near you
Infographic showing various Data Engineer With Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Mainframe Engineer with AI & Git Exp

Mainframe Engineer with AI & Git Exp

Staffingine LLC

Pittsburgh, PA • On-site

$47.50 - $61.25/hr

Contractor

Re-posted 13 days ago

Job description

Job Title: Mainframe Engineer with AI & Git Exp
Job Location: Pittsburgh, PA
Job Type: Contract

Job Description:

  1. Provides application software development services or technical support in more complex situations.
  2. May also be responsible for requirements gathering and BRDSRD preparation.
  3. Has thorough knowledge of the Software Development Life Cycle.
  4. Conducts reviews of the test Plan and test Data.
  5. May allocate coordinate work within a team project.
  6. The job holder leads the technical design development and documentation of cross functional multiplatform application systems.
  7. Analyzes defines and documents requirements for data workflow and logical processes and interfaces with other systems.
  8. Ensures that expected application performance levels are achieved by coordinating coding testing implementation and documentation.
  9. Programming well designed testable efficient code.
  10. Analyze design and develop tests and test automation suites.
  11. Develop flowcharts layouts and documentation to satisfy requirements and solutions.
  12. Maintain software functionality and currency technical debt and gain.
  13. Actively participate in code reviews Integrate software components into a fully functional software system.
  14. Apply security and privacy principles.
  15. Execute full lifecycle software development Develop software verification plans and quality assurance procedures.
  16. Troubleshoot debug and upgrade existing systems Ensure software is updated with latest features.
  17. Participate in deployment process following all change controls.
  18. Provide ongoing maintenance support and enhancements in existing systems and platforms.
  19. Provide recommendations for continuous improvement.
  20. Active learning engagement Complete all required mandatory training policy awareness curricula on time.
  21. Use learning tools such as Pluralsight to complete both recommended and aspirational targets set in personal development plans.
  22. Demonstrate team work Leverage existing products functionality and promote reuse.
  23. Work alongside other engineers on the team to elevate technology and consistently apply best practices.
  24. Collaborate closely with all the other members of the team to take shared responsibility for the overall efforts that the team has committed to Collaborate cross functionally with data engineers business users project managers and other engineers to achieve elegant solutions.
  25. Utilize local meetups to gain and share knowledge Compiles documentation written by more senior developers of all procedures used in system.
  26. Acts as mentor to junior level engineers.
  27. Prior experience with using a specific application development toolkit and knowledge of a mainframe development language required ie COBOL DB2 CICS.
  28. Communications and organization skills team work skills Contributes to the achievement of related teams objectives

Skill requirement:

  1. AI Assisted Development
  2. COBOL JCL CICS DB2 VSAM
  3. Object-oriented programming concepts
  4. DevOps tools and concepts including GIT branching strategies pull merge
  5. Agile Tools including JIRA Zephyr Scale Confluence

Skills

Mandatory Skills: CICS, JCL, Mainframe, DB2, Mainframe Enterprise Cobol, VSAM, Generative AI/Open AI/Vector DB, Git