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Data Engineer With Ai Jobs (NOW HIRING)

Data Engineer with AI/ML

Minnetonka, MN · On-site +1

$72K - $130K/yr

We are seeking a highly skilled and motivated Data Engineering Analyst with AI/ML expertise to drive the AI 10.0 initiative. This role blends deep expertise in data engineering, automation, and cloud ...

Data Engineer with AI/ML

Minnetonka, MN · On-site

$72K - $130K/yr

We are seeking a highly skilled and motivated Data Engineering Analyst with AI/ML expertise to drive the AI 10.0 initiative. This role blends deep expertise in data engineering, automation, and cloud ...

Data Engineer with AI Skillsets

Plano, TX · On-site

$110K - $132K/yr

... in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality ... Work with data analytics tools and frameworks such as Pandas, NumPy, and Jupyter * Design and ...

AI/ML Engineer Location: Irving, TX(Onsite) Job Type: Full Time Job Title ... Data Engineer -ML We are looking for a highly skilled and passionate Data Engineer with strong ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... are in their Digital AI journeys. With offices in North America, Asia, and Latin America ... Azure Data Engineer Associate * Microsoft Exam: Designing and Implementing Microsoft DevOps ...

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

USD$ 60 .00 $ 65 .00 /hr.with benefits Key Responsibilities Data Engineering: Design, develop, and manage data pipelines to handle and process large datasets with a focus on scalability and ...

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 ...

AI Data Engineer

Cupertino, CA · On-site

$141K - $169K/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 ...

AI Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

With ICyte, Life Sciences innovators can digitalize their market access operations, freeing up ... Mission Join the Data Science team as an AI Data Engineer responsible for building the data ...

AI Data Engineer

Philadelphia, PA

$115K - $138K/yr

With ICyte, Life Sciences innovators can digitalize their market access operations, freeing up ... Mission Join the Data Science team as an AI Data Engineer responsible for building the data ...

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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:
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.
Data Engineer with AI/ML

Data Engineer with AI/ML

UnitedHealth Group

Minnetonka, MN • On-site, Remote

$72K - $130K/yr

Full-time

Retirement

Posted 5 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 884 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.  

UHC Technology is focused on driving change, modernization, and ensuring reliable and stable systems so that we can help to transform health care - making it easier, more affordable, and more effective for those we serve.  We are passionate about technology and the role it plays to create distinctive experiences to our constituents.  While we are always focused on how technology can help us deliver faster and with improved quality, we are far more enthusiastic about the ways technology can reinvent how we deliver on our mission in partnership with the UHC lines of business and Optum Technology. 

We are seeking a highly skilled and motivated Data Engineering Analyst with AI/ML expertise to drive the AI 10.0 initiative. This role blends deep expertise in data engineering, automation, and cloud-native development with hands-on experience in advanced AI/ML techniques, Large Language Models (LLMs), prompt engineering, and agentic frameworks. You will architect, build, and optimize intelligent data workflows, develop and fine-tune models, and collaborate across teams to deliver high-impact solutions for healthcare and insurance datasets.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office for a minimum of four days per week.

Primary Responsibilities:

  • Design and develop AI-driven solutions using LLMs to automate claims adjudication processes
  • Build and optimize prompt engineering strategies for LLM-based applications
  • Implement and integrate agentic frameworks to enable autonomous decision-making workflows
  • Architect and deploy scalable data pipelines and AI workflows leveraging Python and related technologies
  • Collaborate with cross-functional teams to ensure compliance with healthcare data standards and Responsible AI principles
  • Contribute to model development, evaluation, and fine-tuning for production environments
  • Mentor junior engineers and foster knowledge-sharing within the team
  • Work independently to deliver innovative solutions aligned with business objectives
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI  

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree in CS or IT related field
  • 5 years of hands-on experience in data engineering and backend automation
  • 5 years of experience in Python, PySpark (Databricks), T-SQL, SQL, and big data technologies (Hadoop, Spark)
  • 5 years of experience with ETL tools, workflow orchestration (Airflow), and data warehousing (Snowflake or similar)
  • 1 years of experience in any one of the cloud technologies like Azure (ML Studio), AWS, GCP
  • 1 years of experience with CI/CD pipelines, GitHub Actions, and containerization tools (Docker)
  • 1 years of experience with Agile methodologies and DevOps practices
  • 6 months of experience with Generative AI frameworks/architectures (LangChain, HuggingFace, OpenAI APIs)
  • 6 months of experience with AI/ML concepts including Generative AI, LLMs (GPT, Gemini, LLaMA), and prompt engineering

Preferred Qualifications: 

  • Understanding of Responsible AI principles and engineering best practices 
  • Familiarity with healthcare or health insurance domain data and compliance standards
  • Excellent problem-solving skills and ability to handle ambiguity 

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. 

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO #GREEN


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