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Data Engineer With Ai Jobs (NOW HIRING)

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$160K - $200K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The AI Data Engineer will design, develop, and ...

Karsun Solutions, LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Join Karsun Solutions to grow your career with the company transforming possible for the US ... Summary We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$129K - $155K/yr

SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The AI Data ... with internal teams and external stakeholders to meet AI/ML data requirements. • Optimize data ...

Apple

AI Data Engineer

Cupertino, CA

$207K - $311K/yr

Do you thrive on engineering clean data flows that connect enterprise systems to intelligent ... This role is embedded within the AI team and works in close partnership with AI and data colleagues ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Requirement - AI Data Engineer Location- Redmond WA 98052-Hybrid Contract W2 Top 3 Must-Have Hard ... Hands-on expertise with Power BI, Data Modeling, and DAX. * Experience with Grafana or similar ...

Cross Screen Media

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced ... Nice to have: Experience with AI coding tools * Nice to have: Exposure to ad tech concepts ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Senior Data Engineer with 7+ years in data engineering and 10+ years in software with AI ML Experience Preferred: * As a Senior Data Engineer, you will architect and scale end-to-end data pipelines ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

Tiki AI

AI Data Software Engineer

San Francisco, CA · On-site

$134K - $162K/yr

They are seeking an AI Data Software Engineer who will work closely with AI research labs to develop data production workflows and ensure the reliability of data pipelines. Responsibilities : • ...

C the Signs

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

TMS

Agentic Data Engineer

Richmond, VA · On-site

$80 - $95/hr

Collaborate with data scientists and engineers to preprocess data, train models, and integrate AI into applications. * Optimize data storage and retrieval with high performance * Statistical analysis ...

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All JobsData Engineer With Ai Jobs

Data Engineer With Ai information

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$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.
AI Data Engineer

AI Data Engineer

Science Applications International Corporation

Fort Belvoir, VA

$129K - $155K/yr

Other

Posted 27 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

69th of 210 rated it services

Job description

SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia.

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data availability, quality, security, and operational integration to enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross-functional teams, optimize data workflows, and contribute to intelligence solutions.
Key Responsibilities:

  • Translate business requirements into logical data models to support entity relationships and data flows.
  • Design and implement scalable data pipelines for AI and machine learning workloads.
  • Develop and maintain data architectures to ensure data quality, availability, and security.
  • Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.
  • Optimize data workflows for real-time analytics and decision-making.
  • Ensure adherence to data governance policies and security protocols.
  • Stay current on data engineering, AI, and machine learning advancements.
  • Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
  • Analyze complex data challenges and deliver practical, innovative technical solutions aligned with organizational goals.
  • Engage frequently with internal and external stakeholders to resolve technical issues and deliver impactful solutions.
  • Contribute to the successful delivery of programs and projects.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Education:

  • Bachelors degree and nine (9) years or more related experience; Masters and seven (7) years or more experience; PhD or JD and four (4) years or more experience.

Qualifications:

  • 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
  • Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
  • Strong knowledge of data pipeline design, ETL processes, and database management.
  • Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
  • Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
  • Familiarity with data governance, security practices, and compliance standards.
  • Excellent analytical, problem-solving, and teamwork abilities.

Desired Qualifications:

  • Experience with Apache Spark or other distributed computing platforms.
  • Palantir Foundry Certification.
  • Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, AWS SageMaker).
  • Proficiency in real-time data processing and analytics platforms.
  • Knowledge of Army Intelligence Enterprise data workflows and requirements.
  • Strong understanding of MLOps practices and supporting tools.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).

Clearance:

  • Candidate must have an active TS/SCI clearance with the ability to obtain a TS/SCI with Poly.  
     

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