ZipRecruiter

Log In

1

Ai Data Engineer Jobs in Texas (NOW HIRING)

Conch Technologies Inc

AI Data Engineer

Frisco, TX · 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.

Apexon

AI Data Engineer

Austin, TX · 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 ...

BetterUp

AI Data Engineer

Austin, TX · 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 ...

Deloitte

Lead Generative AI Data Engineer III

Austin, TX · 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 ...

Apexon

AI Data Engineer (Logical DBA Focus)

Austin, TX · On-site

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 ...

Rysun Labs Inc

Data Engineer

Houston, TX · 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 ...

Strategic Staffing Solutions

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 ...

Strategic Staffing Solutions

Data Engineer

Houston, TX · 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 ...

AT&T

Lead Tech Business Mgmt - AI Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

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 ...

next page

Showing results 1-20

All JobsAi Data Engineer JobsAi Data Engineer Jobs in Texas

Ai Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do ai data engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for ai data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Ai Data Engineer position, and why are they important?

To thrive as an AI Data Engineer, you need strong proficiency in programming (Python, SQL), data architecture, and machine learning fundamentals, typically supported by a degree in computer science, engineering, or a related field. Experience with big data tools (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and certifications like Google Professional Data Engineer are highly valuable. Excellent problem-solving skills, attention to detail, and effective team communication help distinguish top performers in this role. These abilities ensure the development of robust data pipelines and systems that power accurate AI solutions in a collaborative and rapidly-evolving environment.

What does an AI Data Engineer do?

An AI Data Engineer designs, builds, and manages data pipelines and infrastructure to support AI and machine learning models. They collect, process, and store large datasets, ensuring data is clean, structured, and accessible for AI applications. Their role involves working with big data tools, cloud platforms, and databases to optimize performance and scalability. Collaboration with data scientists and software engineers is essential to deploy and maintain AI solutions efficiently.

Which 3 jobs will survive AI?

AI Data Engineers will continue to be in demand as they design, implement, and maintain AI systems, requiring skills in data management, programming, and machine learning. Other roles likely to persist include cybersecurity specialists, who protect systems from evolving threats, and healthcare professionals, especially those involved in patient care and diagnostics, as these fields require human judgment and empathy. These jobs benefit from specialized skills, certifications, and the ability to adapt to technological advancements.

What are some common challenges an AI Data Engineer might face in their daily work?

AI Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and building scalable data pipelines to handle large volumes of information. Working closely with data scientists and software engineers requires strong collaboration and flexibility to adapt to shifting project requirements or algorithms changes. Keeping up with the latest developments in big data and machine learning tech stacks is also crucial. Overcoming these challenges provides a dynamic work environment and offers valuable learning and career growth opportunities.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research lead, often offering compensation in that range including salary, bonuses, and stock options. These roles usually require advanced skills in machine learning, deep learning, data engineering, and experience with tools like TensorFlow or PyTorch, often combined with leadership responsibilities and a strong track record of innovation.

What does an AI data engineer do?

An AI data engineer designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence and machine learning models. They work with large datasets, ensure data quality, and use tools like SQL, Python, and cloud platforms to enable efficient data processing and model training.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, specialized expertise, or working in high-demand industries like technology or finance.
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 are popular job titles related to Ai Data Engineer jobs in Texas? For Ai Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai Data Engineer jobs in Texas look for? The top searched job categories for Ai Data Engineer jobs in Texas are:
What cities in Texas are hiring for Ai Data Engineer jobs? Cities in Texas with the most Ai Data Engineer job openings:
Ai Data Engineer jobs near you
Infographic showing various Ai Data Engineer job openings in Texas as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

AI Data Engineer

Conch Technologies Inc

Frisco, TX • On-site

$107K - $128K/yr

Contractor

Posted 14 days ago

Job description

Job Title: AI Data Engineer

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

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.

 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.
 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.