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Trainee Data Engineer Jobs in Texas (NOW HIRING)

A trainee-to-hire experience for STEM graduates. Step off the campus. Step into a career. Our program now includes Data Track and AI Track , preparing candidates for opportunities in data engineering ...

Data Analysis * Network Planning * Transportation Operations * Participate in process improvement ... Supply Chain, Logistics, Industrial Engineering, Business, Economics, Operations Management, or ...

Data Analysis * Network Planning * Transportation Operations * Participate in process improvement ... Supply Chain, Logistics, Industrial Engineering, Business, Economics, Operations Management, or ...

Automation trainee will support automation engineers to perform activities such as: Electrical ... Field data collection. HMI modifications (under supervision). PLC modifications (under supervision)

Automation trainee will support automation engineers to perform activities such as: Electrical ... Field data collection. HMI modifications (under supervision). PLC modifications (under supervision)

Automation trainee will support automation engineers to perform activities such as: * Electrical ... Field data collection. * HMI modifications (under supervision). * PLC modifications (under ...

Automation trainee will support automation engineers to perform activities such as: * Electrical ... Field data collection. * HMI modifications (under supervision). * PLC modifications (under ...

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Showing results 1-20

Trainee Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do trainee data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for trainee 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 is a trainee data engineer?

A Trainee Data Engineer is an entry-level role designed for individuals who are beginning their career in data engineering. They work under the supervision of senior data engineers to learn how to design, build, and maintain data pipelines and infrastructure. Responsibilities typically include data extraction, transformation, loading (ETL), and working with databases, cloud platforms, and big data technologies. This role provides hands-on experience with tools like SQL, Python, Apache Spark, and cloud services such as AWS, Azure, or Google Cloud. It's a great opportunity to develop technical skills and gain practical knowledge in data engineering practices.

What are the key skills and qualifications needed to thrive as a trainee data engineer?

To thrive as a Trainee Data Engineer, a solid understanding of programming (such as Python or SQL), data structures, and mathematics is important, often supported by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, cloud platforms (e.g., AWS or Azure), and data visualization software is typically required, with certifications in these technologies considered a plus. Strong analytical thinking, a willingness to learn, and effective collaboration and communication skills are valuable soft skills for this role. These abilities enable trainees to learn quickly, contribute to data projects, and adapt to the evolving needs of data engineering teams.

What kind of career growth can I expect as a trainee data engineer?

As a Trainee Data Engineer, you'll gain foundational skills in data management, pipeline development, and cloud services, which are essential for advancing within the data engineering field. Many organizations provide structured training, mentorship, and opportunities to work on real-world projects, allowing you to gradually take on more complex tasks and responsibilities. With experience and demonstrated expertise, you can move into mid-level or senior Data Engineer roles, specialize in areas like big data or machine learning, or even transition into data architecture or analytics leadership positions. This role sets the stage for a rewarding and dynamic career in data-driven industries.

What are the most commonly searched types of Data Engineer jobs in Texas?

The most popular types of Data Engineer jobs in Texas are:

What job categories do people searching Trainee Data Engineer jobs in Texas look for?

The top searched job categories for Trainee Data Engineer jobs in Texas are:

What cities in Texas are hiring for Trainee Data Engineer jobs?

Cities in Texas with the most Trainee Data Engineer job openings:

Infographic showing various Trainee Data Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Entry Level AI/Data Analyst

PCS Global Tech

Austin, TX • On-site

Other

Posted 8 days ago


Job description

Your fast track to Tech Consulting.

A trainee-to-hire experience for STEM graduates.

Step off the campus. Step into a career.


Our program now includes Data Track and AI Track, preparing candidates for opportunities in data engineering, business intelligence, cloud data platforms, SQL development, AI-enabled data solutions, and enterprise technology consulting.

Candidates will gain exposure to in-demand tools and technologies such as SQL, T-SQL, Python, Power BI, Tableau, Azure, AWS, Snowflake, Databricks, Data Warehousing, Data Modeling, Applied AI/ML, Azure OpenAI, RAG, and LLM concepts.


Potential Career Paths:

  • Data Analyst
  • Business Analyst
  • BI Developer
  • SQL Developer
  • Data Engineer
  • Data Integration Specialist
  • AI/Data Consultant

What We’re Looking For:

  • Bachelor’s or Master’s degree in Computer Science, Business Analytics, Mathematics, Computer Engineering, Information Technology, AI, Data Science, or a related STEM field
  • SQL fundamentals and basic programming knowledge
  • Python knowledge preferred
  • Interest in Data, Cloud, BI, AI, or consulting career paths
  • Strong logical reasoning and communication skills
  • Valid U.S. work authorization, including OPT, Day1 CPT, Green Card, or U.S. Citizenship
  • Open to relocation within the United States after project placement