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Ai Data Engineer Jobs in Dallas, TX (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

Frisco, TX ยท On-site

$150 - $200/hr

Overview Quarterhill is seeking a Senior AI Data Engineer to join our forward-thinking team building the next generation of Intelligent Transportation Systems. In this role, you will architect and ...

AI Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

... data engineer. The job starts with a business problem, not a pipeline: understand the question, find the signal in the data, and turn it into something people use every day. AI coding tools like ...

AI Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

... data engineer. The job starts with a business problem, not a pipeline: understand the question, find the signal in the data, and turn it into something people use every day. AI coding tools like ...

AI Data Engineer

Plano, TX ยท On-site

$150 - $200/hr

... data engineer. The job starts with a business problem, not a pipeline: understand the question, find the signal in the data, and turn it into something people use every day. AI coding tools like ...

New

Lead Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

The Lead Data Engineer will lead and support the design, development, and delivery of complex data engineering and AI-ready data solutions across the enterprise data ecosystem. This role will work ...

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Data Engineer & AI Strategist

Richardson, TX ยท On-site

$150K - $170K/yr

On-site in Richardson, TX Our client seeks a Data Engineer & AI Strategist to own the enterprise data model, lead the future-state data environment, govern the BI reporting layer, and drive the AI ...

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Showing results 1-20

Ai Data Engineer information

See Dallas, TX salary details

$44K

$128.4K

$175.7K

How much do ai data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ai data engineer in Dallas, TX is $128,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,100.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as an AI data engineer?

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 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 are the most commonly searched types of Ai Data Engineer jobs in Dallas, TX?

The most popular types of Ai Data Engineer jobs in Dallas, TX are:

What job categories do people searching Ai Data Engineer jobs in Dallas, TX look for?

The top searched job categories for Ai Data Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Ai Data Engineer jobs?

Cities near Dallas, TX with the most Ai Data Engineer job openings:

Infographic showing various Ai Data Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,374 per year, or $61.7 per hour.

AI Data Engineer

Conch Technologies Inc

Frisco, TX โ€ข On-site

$107K - $128K/yr

Contractor

Re-posted 19 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.