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Data Engineer Entry Level Jobs in Grand Prairie, TX

Cognizant

Frontier Certified Engineer (FCE)

Plano, TX · On-site

$90 - $110/hr

Frontier teams combine AI, software engineering, cloud, data, quality, infrastructure, and ... This is an entry-level opportunity. We encourage candidates to apply even if they do not meet every ...

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All JobsData Engineer JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Grand Prairie, TX

Data Engineer Entry Level information

See Grand Prairie, TX salary details

$42.1K

$122.8K

$168K

How much do data engineer entry level jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer entry level in Grand Prairie, TX is $122,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $130,200.00 per year, depending on experience, location, and employer.

What does a data engineer entry level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an entry level data engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Grand Prairie, TX?

The most popular types of Data Engineer jobs in Grand Prairie, TX are:

What are popular job titles related to Data Engineer Entry Level jobs in Grand Prairie, TX?

For Data Engineer Entry Level jobs in Grand Prairie, TX, the most frequently searched job titles are:

What job categories do people searching Data Engineer Entry Level jobs in Grand Prairie, TX look for?

The top searched job categories for Data Engineer Entry Level jobs in Grand Prairie, TX are:

What cities near Grand Prairie, TX are hiring for Data Engineer Entry Level jobs?

Cities near Grand Prairie, TX with the most Data Engineer Entry Level job openings:

Data Engineer Entry Level jobs near you
Infographic showing various Data Engineer Entry Level job openings in Grand Prairie, 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 $122,783 per year, or $59 per hour.

Junior/Entry Level Coder - Remote

SynergisticIT

Arlington, TX • On-site

$60K - $78K/yr

Other

Re-posted 25 days ago

Job description

Synergisticit Job Opportunities

Since 2010, SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients.

Post Covid the tech layoffs have been massive—In 2022 there were 165,269 tech layoffs, in 2023 there were 264,220 tech layoffs and so far in 2024 there have been 126,382 tech layoffs. (Source Layoffs.fyi) Total layoffs as per this 555,871 tech layoffs. Client, Dell and Cisco have announced 15,000/12,500 and 4000 tech layoffs respectively in August. The job market is hyper competitive. For 1 position 500-2000 candidates or more are applying and laid off job seekers are also competing for entry level job positions. Acquiring the right technology skillsets which are being demanded by clients and getting yourself in front of clients is the way to get to get interviews and eventually a job offer. Survival of the fittest is the only way to get a tech job in this job market. In this layoffs fueled market also SynergisticIT's candidates are able to achieve multiple job offers and $100k+ salaries once they acquire the required skills.

We regularly interact with the top tech companies to give our candidates a competitive advantage. Please visit the below videos exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023.

All positions are open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Client, Visa, Walmart Lab S etc to name a few. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We want data science/machine learning/data analyst and Java full stack candidates. Required skills for Java/full stack/DevOps positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, Docker, Jenkins, Github, Kubernates and REST API's experience. For data science/data analyst/AI/machine learning positions required skills include an associate or bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude knowledge of statistics, gen AI, LLM, Sagemaker, Python, computer vision, data visualization tools. Preferred skills: NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidate.

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