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Weekend Ai Data Engineer Jobs in Raleigh, NC (NOW HIRING)

UnitedHealth Group

Senior Data Engineer

Raleigh, NC · Hybrid

$91K - $163K/yr

Use enterprise-approved AI tools and coding assistants to streamline development workflows ... Evaluate emerging trends in data engineering and AI-assisted development to inform solution design ...

Kognitiv Edge

Data Engineer II

Durham, NC · On-site

Create andmaintaindatasets that support reporting, dashboards, analytics, machine learning, and AI ... Qualifications: * 3+ years of experience in data engineering, software engineering, analytics ...

Kobie Marketing

Sr. Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Our Data Engineering team builds and maintains the operational data foundation that powers real ... Deliver the data infrastructure that makes AI-powered loyalty products possible. Not by building ...

Kobie Marketing

Sr. Data Engineer

Raleigh, NC · Remote

$108K - $147K/yr

Our Data Engineering team builds and maintains the operational data foundation that powers real ... Deliver the data infrastructure that makes AI-powered loyalty products possible. Not by building ...

UnitedHealth Group

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Use enterprise-approved AI toolsto automate data engineering workflows, streamline ETL maintenance, and drive continuous improvement in engineering velocity * Implement advanced data ...

Pwc

Data Engineer - Manager

Raleigh, NC

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Manager

Raleigh, NC · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Manager

Raleigh, NC · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Accenture

Secure AI Engineer Manager

Raleigh, NC · On-site

We are Secure, Responsible AI & Data Protection professionals who enable trust, resilience, and ... AppSec, SecOps / detection engineering, IAM, cloud security, offensive security / penetration ...

micro1 AI

AI Data Trainer - MS Suite - Remote

Raleigh, NC · Remote

$35 - $50/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

GEI Consultants

AI Engineer

Cary, NC · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented ...

GEI Consultants

AI Engineer

Cary, NC · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

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Weekend Ai Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Jul 12, 2026, the average yearly pay for weekend ai data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

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

AspectWeekend Ai Data EngineerWeekend Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; familiarity with AI/ML toolsBachelor's in CS, Data Science, or related field; basic data engineering skills
Work EnvironmentProjects involving AI/ML models, data pipelines for AI applicationsGeneral data processing, ETL tasks, data pipeline setup
Employer & Industry UsageTech companies, AI startups, research institutionsVarious industries including finance, healthcare, e-commerce
Common Search & ComparisonOften compared for specialization in AI data tasksBroader data engineering roles

The Weekend Ai Data Engineer focuses on building data pipelines and models specifically for AI and machine learning applications, requiring knowledge of AI tools. In contrast, the Weekend Data Engineer handles general data processing tasks across various industries. Both roles share similar educational backgrounds but differ in their focus and project types.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI research director or senior data scientist, that offers a total compensation package including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.

What engineer makes $500,000 a year?

Senior data engineers, especially those with expertise in AI, machine learning, and cloud platforms, can earn $500,000 or more annually in high-demand industries. Achieving this level typically requires extensive experience, advanced skills, and often leadership responsibilities or specialized certifications.

Do data engineers work on weekends?

Data engineers, including those working as weekend AI data engineers, typically follow a standard workweek but may work on weekends if project deadlines, system maintenance, or urgent issues require it. Flexibility in scheduling can vary depending on the employer and specific job responsibilities, especially in roles involving real-time data processing or 24/7 systems. However, many data engineering roles are primarily Monday through Friday with occasional weekend work.

Which 3 jobs will survive AI?

For a Weekend AI Data Engineer, roles that require complex problem-solving, creativity, and human judgment are most likely to survive AI automation. These include jobs like data scientists, AI specialists, and cybersecurity analysts, which involve designing, managing, and securing AI systems. Skills in critical thinking, domain expertise, and adaptability will remain valuable in these fields.
What are the most commonly searched types of Ai Data Engineer jobs in Raleigh, NC? The most popular types of Ai Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Weekend Ai Data Engineer jobs in Raleigh, NC? For Weekend Ai Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Weekend Ai Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Weekend Ai Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Weekend Ai Data Engineer jobs? Cities near Raleigh, NC with the most Weekend Ai Data Engineer job openings:
Weekend Ai Data Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

UnitedHealth Group

Raleigh, NC • Hybrid

$91K - $163K/yr

Full-time

Retirement

Re-posted 6 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 881 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, and data 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.

Join the Magnus Lake House team within Optum Insight as a Senior Data Engineer. In this role, you will be a key contributor to a high-profile migration project, transitioning our legacy Cornerstone Data Warehouse to a modern cloud-based Lakehouse architecture. This position offers a hybrid work environment based out of our Eden Prairie, MN or Raleigh, NC offices. You will be responsible for designing diverse ingestion patterns to bring data into the lakehouse and developing sophisticated solutions to share that data with consumers. We are looking for a hands-on developer who is eager to use modern AI-assisted tools to drive productivity and innovation in a fast-paced environment.

Location: This is a hybrid role either Raleigh NC or Eden Prairie MN.

Primary Responsibilities:

  • Use enterprise-approved AI tools and coding assistants to streamline development workflows, automate complex tasks, and drive continuous improvement in code quality and efficiency

  • Design and implement robust data ingestion patterns to migrate legacy Cornerstone Data Warehouse assets into the Magnus Lake House

  • Develop and deploy scalable data-sharing solutions to provide consumers with efficient access to data using various architectural patterns

  • Build and manage automated data pipelines using Azure Data Factory (ADF) to ingest and process files within Databricks

  • Utilize the dbt (data build tool) framework to execute complex data transformations following Medallion Architecture (Bronze, Silver, and Gold layers)

  • Interpret, maintain, and enhance existing codebases in both Java and Python to support project requirements

  • Evaluate emerging trends in data engineering and AI-assisted development to inform solution design and identify opportunities for strategic innovation

  • Collaborate with cross-functional teams to ensure data pipelines meet security, scalability, and performance standards

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction 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 Computer Science, Mathematics, or a related field; OR a High School Diploma/GED with 4 years of equivalent data engineering experience

  • 5 years of experience in data engineering or software development

  • 3 years of professional programming expertise in either Python or Java, with the demonstrated ability to read and modify code in both languages

  • 2 years of experience building and orchestrating data pipelines in an Azure environment (ADF, Databricks)

  • 1 year of experience utilizing AI-assisted development tools (e.g., GitHub Copilot, Codex) to enhance development productivity

Preferred Qualifications:

  • Experience with legacy data warehouse migrations and modernizing data architectures

  • Proven experience designing and implementing data-sharing patterns for downstream consumers

  • Deep understanding of Medallion Architecture and Delta Lake

  • Experience with CI/CD practices and version control in a cloud-native environment (e.g., Azure DevOps, GitHub)

  • Hands-on experience using the dbt (data build tool) framework for data transformation

  • Ability to work effectively in a hybrid team environment, balancing independent development with collaborative design sessions

*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 $91,700 to $163,700 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. 

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