2

Entry Level Python Developer Jobs in Carrollton, TX

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 ... SQL * Python for data engineering and automation * Git-based version control * ETL/ELT concepts

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 ... SQL * Python for data engineering and automation * Git-based version control * ETL/ELT concepts

We are seeking a motivated and enthusiastic Entry-Level Technical Support Engineer to join our team ... Strong understanding of programming languages such as Java, Python, C#, or JavaScript.

Troubleshoot entry-level issues: Identify and resolve simple network performance problems, such as ... Utilize network automation with Python or Ansible. * Demonstrate above-average problem-solving and ...

NOC Engineer III - REMOTE

Richardson, TX · On-site +1

$26.97 - $45.91/hr

Troubleshoot entry-level issues: Identify and resolve simple network performance problems, such as ... Utilize network automation with Python or Ansible. * Demonstrate above-average problem-solving and ...

Troubleshoot entry-level issues: Identify and resolve simple network performance problems, such as ... Utilize network automation with Python or Ansible. * Demonstrate above-average problem-solving and ...

Showing results 21-40

Entry Level Python Developer information

See Carrollton, TX salary details

$12

$56

$83

How much do entry level python developer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for entry level python developer in Carrollton, TX is $56.59, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $64.28 per hour, depending on experience, location, and employer.

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

To thrive as an Entry Level Python Developer, you need a solid understanding of Python programming fundamentals, problem-solving skills, and a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, basic database management, and frameworks such as Django or Flask is typically expected. Strong communication, eagerness to learn, and teamwork abilities help you stand out in collaborative development environments. These skills and qualities are crucial for efficient code development, adaptability to new technologies, and successful project delivery.

What does an entry level Python developer do?

An Entry Level Python Developer is responsible for writing, testing, and debugging basic Python code under the guidance of more experienced developers. They often assist with tasks such as developing simple applications, automating repetitive processes, and maintaining existing codebases. These professionals typically work on small projects or support larger teams, helping to implement features, fix bugs, and ensure code quality. Their role is also a stepping stone to more advanced programming responsibilities as they gain experience and knowledge.

Are entry level Python developers still in demand in 2026?

Entry level Python developers remain in demand in 2026 due to the language's widespread use in data analysis, web development, and automation. Skills in frameworks like Django or Flask and knowledge of version control are valuable for entry-level roles, which are expected to grow as companies continue to adopt Python-based solutions.

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

Entry level Python developers often encounter challenges such as adapting to real-world codebases, understanding version control systems like Git, and collaborating effectively within a development team. Additionally, they may need to quickly learn industry-standard frameworks and tools that go beyond basic Python knowledge, such as Django, Flask, or RESTful APIs. Regular communication with senior developers and participating in code reviews are crucial for skill development and overcoming initial hurdles.

Is there a demand for entry level Python developers?

There is strong demand for entry level Python developers across various industries such as technology, finance, and data analysis. Employers seek candidates with basic programming skills, knowledge of frameworks like Django or Flask, and familiarity with version control tools like Git. Entry level roles often require a solid understanding of core Python concepts and the ability to work on team projects in a collaborative environment.

How much does an entry level python developer earn?

Entry-level Python developers typically earn between $50,000 and $80,000 annually, depending on location, industry, and skills. Salaries can increase with experience, certifications, and proficiency in frameworks like Django or Flask.
What are the most commonly searched types of Python Developer jobs in Carrollton, TX? The most popular types of Python Developer jobs in Carrollton, TX are:
What are popular job titles related to Entry Level Python Developer jobs in Carrollton, TX? For Entry Level Python Developer jobs in Carrollton, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Developer jobs in Carrollton, TX look for? The top searched job categories for Entry Level Python Developer jobs in Carrollton, TX are:
What cities near Carrollton, TX are hiring for Entry Level Python Developer jobs? Cities near Carrollton, TX with the most Entry Level Python Developer job openings:
Infographic showing various Entry Level Python Developer job openings in Carrollton, TX as of August 2026, with employment types broken down into 2% Internship, 84% Full Time, 5% Part Time, and 9% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $117,698 per year, or $56.6 per hour.

Data Engineer I

Varsity Brands

Farmers Branch, TX • On-site

$110K - $132K/yr

Full-time

Medical, Life, Retirement

Posted 7 days ago


Varsity Brands rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

21st of 61 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.

What Varsity Brands employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom