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Entry Level Data Engineering Jobs in Texas (NOW HIRING)

Python Developer - (Entry Level)

Austin, TX · On-site

$49.75 - $68.50/hr

We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS ... Engineering, Information Systems, IT Knowledge of Core Java , javascript , C++ or software ...

Junior Developer

Rockwall, TX · On-site

$62K - $80K/yr

This entry-level role blends hands-on software development, data integration, and application support. You'll work with senior developers and business teams to enhance our applications, support end ...

Entry Level Python Developer

Dallas, TX · On-site

$50 - $68.75/hr

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

Junior Developer

Rockwall, TX · On-site

$62K - $80K/yr

This entry-level role blends hands-on software development, data integration, and application support. You'll work with senior developers and business teams to enhance our applications, support end ...

Data analyst I

Austin, TX · On-site

$25 - $28/hr

At an entry level, performs engineering support duties. This position develops competence by ... Performs data entry in the departmental engineering database. - Prepares basic reports related to ...

Looking for an opportunity to help drive NSM business decisions through applications and data? We ... Bachelor's degree in Computer Science, Engineering, Math, Science or related degree. * At least a 3 ...

Recent computer science/engineering/mathematics/statistics or science graduates or people looking ... For data science/machine learning positions required skills include a bachelors degree or masters ...

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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 26, 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.
junior java microservices developer/Jr data analyst-remote

junior java microservices developer/Jr data analyst-remote

SynergisticIT

Dallas, TX • On-site

Other

Posted 3 days ago


Job description

Junior Data Analyst / BI Analyst — Turn Analytical Thinking Into a Tech Career If you enjoy working with numbers, reports, dashboards, and business questions, a data analyst or BI analyst path can be a strong entry point into technology. Companies need people who can transform raw data into insights that support better decisions. But to stand out, candidates need SQL, visualization tools, business understanding, and communication skills.

SynergisticIT is looking for candidates interested in SQL, Excel, Power BI, Tableau, Python, dashboard development, KPI reporting, data cleaning, and business analytics. This opportunity is a strong fit for recent graduates, career changers, and professionals from finance, operations, healthcare, retail, or business backgrounds. SynergisticIT JOPP is good for aspiring analysts because it helps candidates build a clearer, stronger job profile.

Candidates can improve technical tools, develop portfolio projects, strengthen interview answers, and learn how to present data work in a way that hiring teams can evaluate. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now.

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience · Please check below links: · Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ · · please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job?

| https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Start building your data career with practical preparation— Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.