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Data Engineer Entry Level Jobs in Texas (NOW HIRING)

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... data; * Observe foundation and earthwork construction activities; monitors conformance with the construction documents; * Identify and implement solutions to both routine and complex field and/or ...

... data; * Observe foundation and earthwork construction activities; monitors conformance with the construction documents; * Identify and implement solutions to both routine and complex field and/or ...

Experience with data platforms like Fabric, Databricks and Snowflake * Experience with GIT, DevOps, ... RSM does not intend to hire entry level candidates who will require sponsorship now OR in the ...

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Data Engineer Entry Level information

See Texas salary details

$41.5K

$120.9K

$165.4K

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

As of Jun 12, 2026, the average yearly pay for data engineer entry level 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.

Can I get a data engineer job with no experience?

Entry-level data engineering roles typically require some knowledge of programming, databases, and data processing tools like SQL, Python, or Spark. While prior experience is not always mandatory, demonstrating relevant skills through coursework, certifications, or personal projects can improve your chances of securing an entry-level position.

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.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines, which require complex problem-solving and domain expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on more strategic and complex aspects of data management and analysis.

What engineer makes $500,000 a year?

While most entry-level data engineers do not earn this level of salary, highly experienced data engineers working in finance, technology, or consulting firms can reach or exceed $500,000 annually, especially with bonuses and stock options. Such salaries typically require advanced skills in big data tools, cloud platforms, and extensive industry experience.

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.

Is data engineering an entry level job?

Data engineering can be an entry level position, especially for roles that focus on basic data pipeline development and require foundational skills in SQL, Python, or cloud platforms. However, many data engineering roles prefer candidates with some experience or knowledge of big data tools like Hadoop or Spark, making some positions more suitable for those with intermediate skills.

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 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 Texas? The most popular types of Data Engineer jobs in Texas are:
What job categories do people searching Data Engineer Entry Level jobs in Texas look for? The top searched job categories for Data Engineer Entry Level jobs in Texas are:
What cities in Texas are hiring for Data Engineer Entry Level jobs? Cities in Texas with the most Data Engineer Entry Level job openings:
Infographic showing various Data Engineer Entry Level job openings in Texas as of June 2026, with employment types broken down into 86% Full Time, 6% Part Time, 4% Temporary, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Entry level Java Spring developer/Data Engineer

Entry level Java Spring developer/Data Engineer

SynergisticIT

Dallas, TX

Other

Posted 16 days ago


Job description

For Jobseekers Facing Repeated Rejections-Turn "No" Into "Yes"
Overwhelmed by Rejection? It's Not Your Fault-But It Is Time for a New Approach
You've sent out dozens, maybe hundreds, of applications. Each rejection stings a little more, and your confidence is wearing thin. If you're feeling the weight of "rejection fatigue," you're not alone-over 32% of jobseekers report emotional exhaustion from repeated "no's," and the average candidate faces 6-10 rejections before landing a role. But what if you could break this cycle and finally get the "yes" you deserve?
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning /AI engineers for full time positions with clients.
Please check the below links:
  • Job Placement Program (JOPP):
  • Java Job Placement Program
  • Data Science / Data Jobs Program
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact: https://www.synergisticit.com/contact-us/

SynergisticIT's Job Placement Program (JOPP) is engineered for jobseekers who are tired of hitting walls. We don't just teach you to code-we transform you into the candidate employers want to hire, with a proven system that's helped thousands turn rejection into opportunity.
Why Rejection Happens-and How JOPP Changes the Game
In today's tech job market, rejection is rarely about your worth or intelligence. More often, it's a mismatch between your current skills and what employers need, or a lack of visibility in a crowded field. Automated screening tools, outdated resumes, and missing certifications can all keep you out of the running-even if you're smart and motivated.
JOPP addresses these barriers by:
  • Identifying and closing your skill gaps with hands-on, employer-driven training
  • Preparing you for the toughest technical and behavioral interviews with 5,000+ real client questions
  • Optimizing your resume for ATS systems and direct employer marketing
  • Supporting you emotionally and strategically through every setback, until you succeed
Companies Hiring JOPP Candidates & Salary Ranges
Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands-think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Wayfair, and many more-often in the $95k to $154k offer range depending on role, location, and skillset.
JOPP graduates routinely land roles at these and other top firms, with salaries from $95,000 to $154,000-often after months or years of previous rejection.
Why JOPP Works When Other Paths Don't
Many jobseekers try to "apply everywhere" or rely on generic bootcamps, only to face more rejection. JOPP is different: we focus on quality over quantity, targeting your applications to roles you're truly qualified for, and ensuring you have the skills, certifications, and interview readiness to stand out.
Please Read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
Calculate ROI and see real offer timelines
Is AI Going to Replace Software Programmers? | SynergisticIT
The Emotional Journey-From Discouraged to Determined
Rejection can erode your self-esteem, but it doesn't have to define your story. JOPP surrounds you with mentors, peers, and coaches who understand your struggle and are invested in your success. We help you reframe rejection as redirection, building resilience and a growth mindset that will serve you throughout your career.
Your Comeback Starts Here-Join JOPP and Rewrite Your Story
You're not alone, and you're not out of options. With JOPP, you can turn every "no" into a stepping stone toward your dream job. Apply now and let SynergisticIT help you break through the barriers and achieve the career you deserve.
Ready to move from rejection to results? Contact SynergisticIT and join JOPP today.