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Entry Level Engineer Jobs in Prosper, TX (NOW HIRING)

Varsity Brands

Data Engineer I

Farmers Branch, TX · On-site

$110K - $132K/yr

The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering ...

Varsitybrands

Data Engineer I

Farmers Branch, TX · On-site

$110K - $132K/yr

The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering ...

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All JobsEngineer JobsEntry Level Engineer JobsEntry Level Engineer Jobs in Prosper, TX

Entry Level Engineer information

See Prosper, TX salary details

$27.5K

$63.5K

$108.1K

How much do entry level engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for entry level engineer in Prosper, TX is $63,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,200.00 and $71,900.00 per year, depending on experience, location, and employer.

What is an entry level engineer?

An entry-level engineer designs, builds, and maintains the functional aspects of a product, structure, or system for their specific engineering industry. All engineers start out in an entry-level position with fewer responsibilities until they gain work experience. Many start gaining experience through an internship or apprenticeship before moving into an entry-level position. An entry-level engineer job description relates to all of the education requirements, skills, detailed tasks, responsibilities that a company or organization requires for their specific engineering job. For example, civil engineers design, construct, and maintain large infrastructure projects, such as highways, bridges, and airports. Electrical engineers design, monitor, and test electrical systems.

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

To thrive as an Entry Level Engineer, you need a foundational understanding of engineering principles, problem-solving abilities, and a relevant bachelor's degree in engineering. Familiarity with industry-standard software such as CAD tools, MATLAB, or project management platforms, as well as relevant internships or certifications, is often expected. Strong communication, teamwork, and adaptability help you collaborate effectively and learn quickly in a dynamic environment. These skills ensure you can contribute to projects, adapt to organizational needs, and grow professionally in the engineering field.

What are some common challenges faced by entry level engineers during their first year on the job?

Entry level engineers often face challenges such as adapting to new tools and technologies, understanding company-specific processes, and translating theoretical knowledge into practical solutions. It's also common to navigate working on multidisciplinary teams and learning effective communication with colleagues from different backgrounds. With guidance from mentors and proactive engagement, these challenges become valuable learning experiences that contribute to professional growth.

What is the difference between Entry Level Engineer vs Mechanical Engineer?

AspectEntry Level EngineerMechanical Engineer
Required CredentialsBachelor's degree in engineering or related field; internships helpfulBachelor's degree in mechanical engineering; licensure optional for some roles
Work EnvironmentDesign firms, manufacturing plants, construction sites, labsDesign, testing, manufacturing, research and development
Employer & Industry UsageEntry-level positions across various engineering sectorsMid to senior roles, but entry-level positions are common in manufacturing and design firms

Entry Level Engineers typically have a bachelor's degree and gain hands-on experience through internships. They work in diverse environments like design firms and manufacturing plants. Mechanical Engineers, while often requiring similar credentials, may start in entry-level roles but are more specialized in mechanical systems. Both roles are common in engineering industries, but the term 'Entry Level Engineer' is broader, encompassing various engineering disciplines, including mechanical engineering.

How do I get into entry level engineering with no experience?

Entry level engineering positions often require a relevant degree in engineering or a related field. Gaining practical skills through internships, co-op programs, or certifications in tools like AutoCAD or MATLAB can improve your chances; demonstrating problem-solving abilities and a willingness to learn are also important for employers.

What is the easiest entry level engineer job to get into?

Entry-level engineering roles such as manufacturing, technician, or quality assurance positions are often considered easier to obtain due to lower experience requirements and high demand. These jobs typically require basic technical skills, familiarity with tools or software relevant to the field, and sometimes a relevant certification or associate degree.

Why is it so hard to find an entry-level engineer job?

Entry-level engineering jobs are competitive because employers often seek candidates with relevant internships, project experience, or technical skills such as proficiency in CAD, programming, or specific tools. Additionally, many positions require a bachelor's degree and sometimes certifications, which can limit the pool of qualified applicants and make entry into the field more challenging.
More about Entry Level Engineer jobs

What are the most commonly searched types of Engineer jobs in Prosper, TX?

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

What cities near Prosper, TX are hiring for Entry Level Engineer jobs?

Cities near Prosper, TX with the most Entry Level Engineer job openings:

Entry Level Engineer jobs near you
Infographic showing various Entry Level Engineer job openings in Prosper, TX as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $63,521 per year, or $30.5 per hour.

Data Engineer I

Varsity Brands

Farmers Branch, TX • On-site

$110K - $132K/yr

Full-time

Medical, Life, Retirement

Re-posted yesterday

Varsity Brands rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

21st of 62 rated fashion and textile manufacturers

Job description

JOIN THE BEST TEAM IN SPORT & SPIRIT
At Varsity Brands, we believe every student deserves the opportunity to succeed and every educator wants to make a difference. It takes a team to make a real impact, and through our two divisions - BSN SPORTS and Varsity Spirit - and our network of 6,000+ employees and independent representatives, we are proud to partner with a wide range of educational institutions and club and professional sports to transform the student journey in SPORT and SPIRIT.
LOCATION: 14460 Varsity Brands Way Farmers Branch, Tx - Varsity Brands HQ
WORK TYPE: Onsite
HOW YOU WILL MAKE AN IMPACT:
Varsity Brands is building a modern enterprise data platform that powers analytics, reporting, artificial intelligence, and data-driven decision-making across the organization. The platform brings together data from enterprise applications, digital products, manufacturing, supply chain, and customer systems into trusted, scalable, and governed data products and platform capabilities that enable analytics, operational intelligence, and AI.
The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering knowledge and exercises independent judgment in executing assigned work, including selecting appropriate approaches within established engineering standards to develop, test, and maintain data pipelines, transformations, and data products.
This role is designed to develop the next generation of data engineers who will help build the trusted data foundation supporting Varsity Brands' analytics, operational intelligence, and AI strategy.
Impact of the Role
  • Contributes to delivery of trusted data pipelines and data products supporting analytics, reporting, and AI initiatives
  • Builds foundational engineering capabilities supporting a scalable, cloud-based enterprise data platform
  • Improves data accessibility, consistency, and quality across enterprise systems
  • Supports the organization's transition from fragmented data sources to governed, reusable enterprise data assets

WHAT YOU WILL DO:
  • Develop, test, and maintain data pipelines, transformations, and data integration processes using established engineering standards
  • Assist in building and maintaining data products that support analytics, reporting, and AI use cases
  • Write, optimize, and troubleshoot SQL queries and data transformations
  • Participate in code reviews and incorporate feedback to improve quality, maintainability, and performance
  • Troubleshoot lower-complexity data pipeline and data quality issues, exercising sound judgment to identify appropriate solutions and escalating when necessary
  • Collaborate with Data Engineering, Analytics Engineering, Business Intelligence, Enterprise Architecture, Application Engineering, and business stakeholders to deliver reliable data solutions
  • Follow established engineering practices for testing, version control, CI/CD, security, and documentation
  • Contribute to data quality, observability, and monitoring activities to improve platform reliability
  • Document data pipelines, transformation logic, metadata, and engineering processes to support knowledge sharing and operational continuity
  • Develop working knowledge of enterprise data architecture, cloud data platforms, orchestration frameworks, and engineering patterns to support future growth into independent ownership

Key Performance Indicators
Success in this role will be measured through:
  • Quality and reliability of delivered data pipelines and transformations
  • Timely completion of assigned engineering work
  • Accuracy and quality of data supporting downstream consumers
  • Ability to troubleshoot and resolve issues with increasing independence
  • Consistent adoption of engineering standards, documentation, and development practices
  • Demonstrated growth in technical capability and understanding of the enterprise data platform

QUALIFICATIONS:
Knowledge, Skills, Abilities
The ideal candidate will demonstrate the following capabilities:
Technical Knowledge
  • Foundational understanding of data engineering principles and modern data platforms
  • Basic Understanding of relational databases, data modeling, and data integration concepts
  • Familiarity with cloud-based data platforms and modern data engineering environments
  • Basic understanding of data governance, data quality, and metadata concepts

Technical Skills
  • Ability to develop and test SQL queries and data transformations
  • Foundational programming skills using Python or a comparable language
  • Familiarity with modern data engineering tools and technologies, including:
    • Modern cloud data platforms (Snowflake preferred)
    • SQL
    • Python for data engineering and automation
    • Git-based version control
    • ETL/ELT concepts
  • Basic understanding of CI/CD and automated testing concepts

Cognitive & Problem-Solving Abilities
  • Applies logical reasoning to solve defined technical problems
  • Exercises independent judgment in selecting approaches within established engineering guidelines
  • Identifies data quality and pipeline issues and escalates appropriately when needed
  • Demonstrates attention to detail and commitment to producing accurate, reliable data

Collaboration & Communication
  • Communicates effectively within cross-functional team environments
  • Collaborates with engineers, analysts, architects, and business stakeholders
  • Actively participates in team discussions and engineering ceremonies
  • Incorporates coaching and feedback to improve technical capability

Learning Agility
  • Demonstrates curiosity and willingness to learn emerging data technologies and engineering practices
  • Adapts to evolving cloud platforms, tools, and business priorities
  • Builds understanding of enterprise data architecture and modern data engineering patterns

Continuous Improvement
  • Identifies opportunities to automate, simplify, and improve engineering processes
  • Seeks opportunities to reduce technical debt and improve operational excellence

Education, Certification and Experience
Ideal candidates will bring the following experience and capabilities:
Required
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or a related technical discipline; or equivalent combination of education and experience
  • 0 - 2 years of relevant experience, including internships, academic projects, or early career experience in data engineering, software engineering, analytics engineering, or related technical disciplines
  • Foundational knowledge of SQL and relational databases

Preferred
  • Exposure to cloud data platforms such as Snowflake
  • Exposure to Python, dbt, or comparable data transformation tools
  • Familiarity with Git, CI/CD, and Agile software development practices
  • Experience working with modern data visualization or analytics platforms through coursework, internships, or projects

Physical Demands and/or Work Environment
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
#LI_JF
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job.
OUR VALUES
Service - We lead with heart. We champion community.
Passion - We love what we do. It fuels our purpose.
Integrity - We do what we promise. We own our actions and decisions.
Respect - We earn it by giving it. Because everyone deserves it.
Innovation - We never stop striving to be better. For ourselves and our community.
Transparency - We are committed to openness and honesty in everything we do.
OUR BENEFITS
We are committed to putting you and your families first. For benefits eligible roles, we offer a variety of choices and costs as well as program enhancements that align with our responsibility to elevate the employee experience. Some of our offerings include:
  • Comprehensive Health Care Benefits
  • HSA Employer Contribution/ FSA Opportunities
  • Wellbeing Program
  • 401(k) plan with company matching
  • Company paid Life, AD&D, and Short-Term Disability
  • Generous My Time Off & Paid Holidays
  • Varsity Brands Ownership Program
  • Employee Resource Groups
  • Access to Financial Coaching and member-owned Credit Union
  • St. Jude Partnership & Volunteer Opportunities
  • Employee Perks including discounts on personal apparel and equipment!

Varsity Brands companies are equal opportunity employers. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, gender, sexual orientation, gender identity, veteran's status, age or disability.

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