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Entry Level Data Engineering Jobs in Texas (NOW HIRING)

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Entry Level Data Engineering information

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How much do entry level data engineering jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for entry level data engineering in Texas is $18.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $20.38 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

While most entry-level data engineering roles do not reach $500,000 annually, senior data engineers with extensive experience, specialized skills in big data tools, and leadership responsibilities can earn this level of compensation, often through a combination of salary, bonuses, and stock options in large tech companies or startups.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency but do not eliminate the core responsibilities of data engineering roles.

What is an Entry Level Data Engineering job?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an Entry Level Data Engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level position.

What are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Which is the hardest field in it?

In entry-level data engineering, the most challenging aspects often involve mastering complex data pipelines, understanding distributed systems, and working with large-scale databases. Developing proficiency in tools like SQL, Python, and cloud platforms such as AWS or Azure can also be demanding for newcomers. Building strong problem-solving skills and gaining certifications can help overcome these challenges.
What are the most commonly searched types of Data Engineering jobs in Texas? The most popular types of Data Engineering jobs in Texas are:
What are popular job titles related to Entry Level Data Engineering jobs in Texas? For Entry Level Data Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Engineering jobs in Texas look for? The top searched job categories for Entry Level Data Engineering jobs in Texas are:
What cities in Texas are hiring for Entry Level Data Engineering jobs? Cities in Texas with the most Entry Level Data Engineering job openings:
Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Texas as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $39,221 per year, or $18.9 per hour.
Data Center Deployment Technician I

Data Center Deployment Technician I

Total Deployment Solutions

Abilene, TX • On-site

Other

Posted 6 days ago

Job description

About Abilene, TX

Abilene, TX is quickly becoming a major data center build market, fueled by large-scale hyperscale and AI infrastructure projects. These campuses are engineered for high-density power, enterprise fiber, and continuous expansion-creating steady demand for fiber and copper techs, electricians, installers, and commissioning crews. Abilene offers hands-on work on massive builds, exposure to critical power and network systems, and long-term project stability as the market continues to grow

Position Overview

The Data Center Deployment Technician I is an entry-level role ideal for candidates with 0-1 year of experience looking to start a career in data centers. This position is primarily responsible for labeling fiber optic and copper cables and performing basic Quality Control / Quality Assurance checks limited to labeling accuracy and cable condition.

Technicians in this role work under direct supervision and follow established client and TDS standards.

Key Responsibilities

  • Accurately label fiber optic and copper cables according to client standards, drawings, and project requirements.
  • Verify cable IDs, rack locations, and labeling consistency at both ends of the cable.
  • Perform QC/QA checks to confirm:
  • Labels are correct, legible, and properly placed.
  • Cables show no visible damage, breaks, kinks, or compromised jackets during labeling.
  • Identify and report labeling discrepancies or visible cable damage to project leadership.
  • Assist with updating labeling documentation, checklists, and redlines as required.
  • Follow all site safety requirements and wear required PPE.
  • Maintain a clean and organized work area to support project timelines and client standards.

Qualifications

  • High school diploma or equivalent.
  • 0-1 years of experience in a data center, cabling, or technical environment (experience preferred but not required).
  • Strong attention to detail and ability to follow labeling standards and instructions.
  • Ability to work in a fast-paced, structured environment.
  • Comfortable working in data centers, including raised floors and equipment aisles.
  • Ability to lift up to 50lbs and stand or walk for extended periods.

Preferred (Not Required):

  • Exposure to fiber optic or copper cabling.
  • OSHA 10 certification.
  • Military, trade school, or technical training background.

Why Join TDS?

  • Entry-level opportunity with hands-on data center experience.
  • Clear growth path within deployment and project teams.
  • On-the-job training and mentorship.
  • Opportunity to work on large-scale, enterprise data center projects.

Job Type: PROJECT BASED - W2

Schedule: 8 AM - 5 PM, Monday through Friday. Please note that the schedule may fluctuate depending on client needs.

Ability to Commute:

  • Abilene, TX

Work Location: In-person

Apply