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Entry Level Data Engineering Jobs in Texas (NOW HIRING)

Entry Level Data Architect (Remote)

Mesquite, TX · On-site

$58 - $74.50/hr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Entry Level Python Developer

Southlake, TX · On-site

$47.25 - $65.25/hr

Data Scientist Opportunity At SynergisticIT, we aim to bring aboard IT professionals to help them ... Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics ...

We're building a greenfield data platform and looking for an entry level Data Engineer to join our Automations team. This team sits at the intersection of data engineering and platform engineering ...

New

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ... Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Engineering information

See Texas salary details

$10

$18

$29

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

As of Jun 25, 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?

Highly experienced data engineers working in senior or specialized roles at large tech companies or financial institutions can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires advanced skills in cloud platforms, big data tools, and extensive industry experience. These roles are rare and usually involve leadership responsibilities or niche expertise.

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 rather than substitutes for the core responsibilities of data engineers.

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 often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for entry-level positions. Building a solid foundation in data concepts and gaining hands-on experience can improve chances of securing such roles.

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.

Is data engineering an entry level job?

Data engineering can be an entry level role, especially for those with foundational skills in programming, databases, and cloud platforms. However, many positions require some experience with data pipelines, scripting, and tools like SQL, Python, or Spark, so entry-level candidates should focus on developing these skills and relevant certifications.
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:
Infographic showing various Entry Level Data Engineering job openings in Texas as of June 2026, with employment types broken down into 78% Full Time, 20% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,221 per year, or $18.9 per hour.
Software Engineer

Other

Posted 2 days ago


Cetera Financial Group rating

9.1

Company rating: 9.1 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Job Description
We're building a greenfield data platform and looking for an entry level Data Engineer to join our Automations team. This team sits at the intersection of data engineering and platform engineering - we own the DevOps, AI agent tooling, and test automation layer that makes the rest of the platform reliable and fast to iterate on. If you're early in your career and excited about building things the right way from day one, this is a rare opportunity to shape something from the ground up.
Core Responsibilities:
Help design, build, and maintain CI/CD pipelines and infrastructure-as-code for a modern data platform
Develop and maintain automated test suites to validate data pipelines, transformations, and platform components
Contribute to AI agent workflows that automate operational and data tasks
Collaborate with senior engineers to establish DevOps patterns and best practices on a greenfield codebase
Monitor, debug, and improve platform reliability and observability
Other duties as assigned.
Required Knowledge, Skills, and Abilities:
Bachelor's degree in computer science, Engineering, or a related field or equivalent practical experience
Familiarity with Python and comfort writing scripts to automate tasks
Basic understanding of data engineering concepts (pipelines, transformations, storage)
Exposure to DevOps tooling such as Git, CI/CD systems (GitHub Actions, GitLab CI, etc.), or containerization (Docker, Kubernetes)
Curiosity about AI/ML tooling and automation - prior experience is a plus, not a requirement
Strong willingness to learn; experience with greenfield or 0-to-1 projects is a bonus
Desired Knowledge, Skills, and Abilities:
Experience with a cloud platform (AWS, Google Cloud Platform, or Azure)
Familiarity with data tools such as Databricks, Snowflake, Kafka, Spark, or similar
Exposure to testing frameworks or quality engineering practices
Any experience with LLM APIs or AI agent frameworks
Minimum Required Education & Experience:
Bachelor's degree in data or software engineering or a related field or equivalent.
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