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Weekend Ai Data Engineer Jobs in Texas (NOW HIRING)

AI Data Engineer

Frisco, TX ยท On-site

$107K - $128K/yr

AI Data Engineer Location: Frisco, TX or Louisville, KY (Hybrid) Duration: 12+ Months Note : Only W2 No C2C We are looking for an experienced AI Data Engineer to join a growing enterprise data team.

AI Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

We are seeking an experienced AI Data Engineer with a strong Logical Database Administration (DBA) background to support enterprise AI initiatives. This role is heavily focused on database ...

AI Data Engineer

Austin, TX ยท 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 ...

Lead Generative AI Data Engineer III

Austin, TX ยท 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 ...

AI Data Engineer Staff

Fort Worth, TX ยท 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 ...

AI Data Engineer (Logical DBA Focus) Location: Austin, TX (Onsite Local Candidates Only) Duration: 6 Months Contract-to-Hire Positions: 1 Important Requirement Candidates MUST currently reside within ...

Data Engineer

Houston, TX ยท On-site

$60/hr

Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune ... Data Engineer Location: Houston Tx Experience: 4-7 Years Mandatory Certification: * Databricks ...

Databricks Data Engineer II

Austin, TX ยท On-site

$113K - $136K/yr

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Databricks Data Engineer II

Dallas, TX ยท On-site

$113K - $136K/yr

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Databricks Data Engineer II

Houston, TX ยท On-site

$109K - $131K/yr

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Data Engineer

Houston, TX

$109K - $131K/yr

Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight business. This is a senior, hands-on engineering ...

Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

Houston, TX Contract Length: 12+ Months Pay: 80-90 per hr on W2 Job ref# 247245 Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight business. This is a senior ...

We are seeking a highly adaptable and technically versatile AI Data Engineer to design, build, and maintain data-driven solutions that connect systems, automate processes, and generate actionable ...

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Showing results 1-20

Weekend Ai Data Engineer information

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 Texas? The most popular types of Ai Data Engineer jobs in Texas are:
What cities in Texas are hiring for Weekend Ai Data Engineer jobs? Cities in Texas with the most Weekend Ai Data Engineer job openings:
AI Data Engineer

AI Data Engineer

Conch Technologies Inc

Frisco, TX โ€ข On-site

$107K - $128K/yr

Contractor

Posted 6 days ago


Job description

Job Title: AI Data Engineer

Location: Frisco, TX or Louisville, KY (Hybrid)
Duration: 12+ Months
ย 

Note : Only W2 No C2CJob Description

We are looking for an experienced AI Data Engineer to join a growing enterprise data team. The ideal candidate will have strong experience building enterprise-scale data solutions and implementing AI capabilities in production environments. This is a hybrid role requiring candidates to work from either Frisco, TX or Louisville, KY.

ย Required Skills
  • 7+ years of experience in Data Engineering.
  • Hands-on experience implementing AI solutions in production environments.
  • Strong experience building and maintaining enterprise-scale data pipelines.
  • Experience working in regulated industries such as:
  • Healthcare
  • Financial Services
  • Solid understanding of:
  • Data Governance
  • Enterprise Data Architecture
  • Cloud-based Data Platforms
  • Hands-on experience with:
  • Databricks
  • Snowflake
  • Experience designing scalable ETL/ELT pipelines.
  • Strong SQL and Python programming skills.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Excellent analytical, problem-solving, and communication skills.
ย Responsibilities
  • Design, develop, and maintain enterprise data pipelines and data platforms.
  • Implement AI and machine learning solutions into production environments.
  • Build scalable ETL/ELT processes using Databricks and Snowflake.
  • Ensure data quality, security, governance, and compliance across enterprise data platforms.
  • Collaborate with data scientists, engineers, and business stakeholders to deliver AI-driven solutions.
  • Optimize data processing performance and cloud-based data infrastructure.
  • Support enterprise data architecture and best practices for data engineering.