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7 Junior Python Developer - Data Engineering Resume Templates with Example

By Ria · Last Updated On October 19, 2026
Resume example — page 1

This guide shows you how to build a clear, focused Junior Python Developer - Data Engineering resume. You will learn how to organize relevant evidence and choose a format that makes your skills and project work easy to review.

For this role, connect Python application development with data work. Use concise bullets to show how you built a data-ingestion workflow, connected an application to a SQL database, created REST APIs, and tested data or API behavior.

The example resume is presented in 7 layouts, so you can compare image previews and see how each format presents the same career information. The guide also covers ATS-friendly section order, useful keywords, projects, education, certifications, and tools such as Git, Java, and Python testing libraries.

What Makes a Great Junior Python Developer - Data Engineering Resume in 2026

A strong resume makes Python development, data work, and practical problem solving easy to spot. Clear headings and focused bullets help readers find the most relevant evidence quickly.

Show the steps and results of project work, such as building reusable data transformations, connecting SQL databases, or testing REST APIs. Use accurate keywords like Python, object-oriented programming, Git, debugging, and software testing.

Note: Resume examples are for educational purposes only. Use only information that accurately reflects your experience and qualifications. References to real organizations do not imply affiliation or endorsement.

#1 Simple One Column Format Resume Example

The single-column page gives each resume section the full reading width, a useful choice for detailed project and experience entries.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Experience bullets follow one vertical path, helping reviewers track project chronology.
  • Education and credentials remain within the same sequence of resume sections.
  • Skills can be reviewed alongside project evidence without a separate column.

Best For

  • Detailed project descriptions
  • Full-width experience bullets
  • Skills alongside project evidence
  • Several education and credential entries
  • A direct section-by-section review

Resume Keywords

  • Python application development
  • data engineering
  • object-oriented programming
  • Backend development
  • SQL databases
  • REST APIs
  • Git
  • debugging
  • software testing
  • programming fundamentals
  • Use Git, debugging, and software testing to keep code changes organized and check application behavior.
  • application development
  • problem-solving
  • cloud fundamentals
  • Technical communication
See all keywords
 

#2 Simple Two Column Format Resume Example

The two-column body places resume information in parallel areas, offering a useful option when readers want more than one point of entry.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Separate reading areas help reviewers locate skills without passing through every experience bullet.
  • Experience details remain distinct from other resume sections during a quick review.
  • The two-column structure offers clear entry points to education and credentials.

Best For

  • Several distinct resume sections
  • Project and research experience
  • Skills across multiple categories
  • Education with supporting credentials
  • Readers who prefer parallel content areas

#3 Plain One Column with Shaded Labels Resume Example

This one-column format keeps resume content in a single vertical sequence, a practical choice for readers who prefer a direct path through each section.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • The vertical reading order helps reviewers follow experience from one project to the next.
  • A single content path keeps education and credentials in the broader resume sequence.
  • Skills and experience remain part of one shared review flow.

Best For

  • Sequential review of project work
  • Experience with detailed bullet points
  • Education in the main resume flow
  • Skills reviewed with experience
  • A single reading path
 

#4 One Column Format with Photo Right Resume Example

The single-column body pairs a photo on the right with a full-width reading path, suiting readers who want a portrait beside the resume content.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • The vertical sequence helps reviewers follow experience and project details in order.
  • Full-width sections keep education and credentials within the main reading path.
  • Skills and experience stay together rather than split across body columns.

Best For

  • Resume submissions that include a portrait
  • Full-width experience descriptions
  • Sequential review of project work
  • Skills alongside experience details
  • Education and credentials in one content path
 

#5 Clean Two Column Sidebar Format Resume Example

The two-column body offers parallel areas for resume content, a practical choice for readers who want distinct places to begin a review.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Separate areas help reviewers move between experience and supporting resume sections.
  • The reading structure gives skills a point of entry beyond the experience history.
  • Education and credentials remain easier to locate during a section-focused review.

Best For

  • Multiple types of project experience
  • Skills spanning several areas
  • Education with additional credentials
  • Distinct resume section groups
  • Parallel review of supporting details
 
 

#6 Two Column Format Resume Example

Two body columns create separate reading areas, a useful choice when reviewers need to move between experience and other resume sections.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Experience details can be reviewed apart from supporting sections in the same document.
  • Distinct content areas give education and credentials clear points of entry.
  • The two-column reading order helps reviewers compare project work with related qualifications.

Best For

  • Project work with varied details
  • Skills across multiple categories
  • Experience alongside supporting sections
  • Education and credentials for review
  • Readers who scan separate content areas
 

#7 Photo Header Two Column Format Resume Example

The two-column body pairs parallel resume sections with a photo in the header, suiting readers who prefer a portrait with a divided content layout.

 
Resume example — page 1   Resume example — page 2

Why This Format Works

  • Separate columns let reviewers move between experience and other resume sections directly.
  • Skills have a distinct point of entry from the experience history.
  • The divided reading areas help keep education and credentials findable.

Best For

  • Resume submissions that include a portrait
  • Project descriptions across several entries
  • Skills reviewed separately from experience
  • Education with related credentials
  • Readers who prefer divided content areas
 
 
 

Why Build Your Junior Python Developer - Data Engineering Resume with ResumeInMinutes

Use the example to organize your projects, education, technical skills, and experience into a resume that is clear to scan. You can view image previews and open an example in the editor to customize it.

  • Clear resume layouts
  • ATS-friendly section structure
  • Role-focused keyword guidance
  • Project and skills organization
  • PNG image previews
  • Resume customization in the editor

Keep the focus on evidence that fits this role. Highlight Python and Java development, SQL databases, REST APIs, Git, testing, and relevant project work, then make sure every skill and result is accurate.

 

See Also

 

Frequently Asked Questions

Are these Junior Python Developer - Data Engineering resume templates ATS-friendly?

They use clear headings and organized sections that help readers scan key details. Include role-related terms such as Python, SQL databases, REST APIs, object-oriented programming, Git, and software testing when they match your experience.

Do the examples show different resumes?

The examples show the same resume content in different layouts. Compare the image previews to see which format presents your skills and project evidence most clearly.

What should a Junior Python Developer - Data Engineering resume include?

Include a focused summary, technical skills, relevant project or work experience, education, and certifications. Use concise bullets to describe Python applications, data ingestion, SQL databases, REST APIs, testing, and your specific contributions.

Which resume layout works well for this role?

A simple one-column layout is often a practical choice because its headings and details are easy to scan. Choose a format that gives project bullets, technical skills, and education clear space without making the page crowded.

How can I show relevant experience if much of my work comes from projects?

Describe academic, research, and personal projects with the same care as other experience. State what you built, the tools you used, how you tested it, and what you contributed. For example, explain a data-ingestion prototype or a database-backed application in clear, specific bullets.

Should I list every programming tool I have used?

Prioritize tools that match the role and that you can discuss accurately. Group related skills, such as Python libraries, databases, API technologies, version control, and testing tools, so readers can find relevant details quickly.

ATS Score 94%

How we calculate this score

  • Keywords: 60% of the total. AI extracts keywords from your job description. If you do not provide one, a standard job description for the title matching your resume is used. This is not a match to a specific vacancy.
  • Text-based resume: 20%. The text resume assessed here receives 100 for this part.
  • Resume quality: 20%. We start at 100 and subtract points for issues found by our resume checks, down to a minimum of zero.
  • Keyword coverage = round(100 × confirmed matches ÷ total keywords). Exact matches and supported equivalents verified by AI receive full credit; unsupported keywords receive none. Live text checks use the saved equivalents and do not request a new AI review. Without keywords, no overall ATS score is available.
  • Final score = 60% of keyword coverage + 20% of the text score + 20% of the quality score, rounded to a whole number. Without keywords, no overall ATS score is available.

What this score means

Our scores are estimates, not employer ratings. They may contain errors and do not guarantee accurate parsing, a ranking, an interview, or a job. Check your document against the employer’s requirements. You are responsible for relying on this score.

Terms and Conditions

Score weights: Keywords 60% · Text based resume 20% · Resume quality 20%

Keyword coverage: 18 of 20 (90%) · Resume quality: 100%

Resume quality 100% · Weight 20% · Issues (0)

Details
  • ✓Name present: Charlie Blake
  • ✓Email format: charlie.blake@example.com
  • ✓Phone format: (785) 555-XXXX
  • ✓Experience 1: Job title: Junior Python Developer, Academic Capstone
  • ✓Experience 1: Company name: University Data Engineering Capstone
  • ✓Experience 1: Work location: Lawrence, KS
  • ✓Experience 1: Employment dates: Jan 2025 - May 2025
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Software Development Research Assistant
  • ✓Experience 2: Company name: University Research Lab
  • ✓Experience 2: Work location: Lawrence, KS
  • ✓Experience 2: Employment dates: Aug 2024 - Dec 2024
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Python Application Developer, Student Project
  • ✓Experience 3: Company name: Computer Science Course Project
  • ✓Experience 3: Work location: Lawrence, KS
  • ✓Experience 3: Employment dates: Jan 2024 - May 2024
  • ✓Experience 3: Description or achievements: Present
  • ✓No placeholder fields
  • ✓No repeated achievement bullets
  • ✓No empty bullets

No issues found by the current checks.

Text Based Resume 100% · Weight 20%

Parsed text
Charlie Blake
(785) 555-XXXX
charlie.blake@example.com
charlieblake
Lawrence, KS 66044
SUMMARY
Early-career Python developer with a B.S. in Computer Science and a focus on data engineering and application development. Build Python and Java applications using object-oriented programming, SQL databases, and REST APIs, with project experience spanning data ingestion, research records, and classroom datasets. Use Git, debugging, and software testing to keep code changes organized and check application behavior. Capstone and research projects have strengthened programming fundamentals, cloud fundamentals, and practical problem-solving, from validating data to explaining database and application design choices. Collaborate with student teams and share technical decisions with classmates and faculty reviewers, connecting computer science and mathematics foundations to clear, maintainable software.
EDUCATION
Bachelor of Science in Computer Science
2025
University of Kansas
Lawrence, KS
TECHNICAL SKILLS
Programming Languages: Python, Java, SQL
Python Libraries: pandas, NumPy, pytest
Java Libraries: JUnit, JDBC, Jackson
Web Frameworks: Flask, FastAPI, Django
API Technologies: REST, JSON, OpenAPI
Relational Databases: PostgreSQL, MySQL, SQLite
Version Control: Git, GitHub, GitLab
Cloud Platforms: AWS, AWS Educate, Amazon S3
Testing Tools: pytest, JUnit, unittest
Development Environments: Visual Studio Code, IntelliJ IDEA, Jupyter
Data Formats: CSV, XML, YAML
Build and Packaging: pip, Maven, setuptools
SKILLS
Python application development
Data engineering
Object-oriented programming
Backend development
SQL databases
REST APIs
Git version control
Debugging
Software testing
Programming fundamentals
Cloud fundamentals
Data validation
Database design
Technical communication
Problem-solving
EXPERIENCE
Junior Python Developer, Academic Capstone
Jan 2025 - May 2025
University Data Engineering Capstone
Lawrence, KS
Built a Python data-ingestion prototype for public datasets, organizing transformations into reusable components and applying object-oriented programming to simplify maintenance.
Connected the application to a SQL database and created REST APIs for querying processed records, documenting request and response behavior for classmates reviewing the project.
Used Git branches and pull requests to track changes with a four-person student team; debugged integration issues and added basic tests for data validation and API responses.
Presented design choices, testing results, and cloud fundamentals for a potential deployment to faculty reviewers, explaining tradeoffs in database structure and application design.
Software Development Research Assistant
Aug 2024 - Dec 2024
University Research Lab
Lawrence, KS
Developed a small Java backend application for organizing research records, using object-oriented programming to separate data access from service logic.
Wrote SQL queries and tested API behavior against sample records, resolving debugging issues found during peer review and improving the clarity of project documentation.
Applied problem-solving methods to investigate inconsistent inputs, then shared technical decisions and test findings during weekly student research reviews.
Python Application Developer, Student Project
Jan 2024 - May 2024
Computer Science Course Project
Lawrence, KS
Created a Python application that summarized a class dataset, using data analysis and basic statistical methods to check patterns and flag incomplete records.
Practiced software engineering fundamentals by organizing source files, tracking revisions in Git, and preparing test cases for common input and error conditions.
Delivered a working application demo and concise technical explanation, connecting computer science and mathematics coursework to practical application development.
LEADERSHIP, AWARDS & RECOGNITION
Selected student presenter, Computer Science Department Project Showcase, 2025.
Dean's List, University of Kansas, Fall 2024.
Facilitated a peer study group for computer science courses during 2024-2025, helping classmates review course concepts.
CERTIFICATIONS
Python for Everybody Specialization, Coursera
2025
AWS Educate: Introduction to Cloud 101, AWS Educate
2024
PROFESSIONAL AFFILIATIONS
Association for Computing Machinery, student member, engaging with a professional community focused on computing.
Institute of Electrical and Electronics Engineers Computer Society, student member, connecting with peers in software and computing.
LANGUAGES
English (Native)
Spanish (Intermediate)

Matched keywords (18)

  • Python application development
  • data engineering
  • object-oriented programming
  • Backend development
  • SQL databases
  • REST APIs
  • Git
  • debugging
  • software testing
  • programming fundamentals
  • Use Git, debugging, and software testing to keep code changes organized and check application behavior.Original keyword in JD: Software development practices
  • application development
  • problem-solving
  • cloud fundamentals
  • Technical communication
  • Built a Python data-ingestion prototype for public datasets, organizing transformations into reusable components and applying object-oriented programming to simplify maintenance.Original keyword in JD: Practical project work
  • PythonOriginal keyword in JD: Python OR Java
  • Bachelor of Science in Computer ScienceOriginal keyword in JD: Bachelor's in Computer Science OR Master's in Computer Science OR Bachelor's in Engineering OR Master's in Engineering OR Bachelor's in Mathematics OR Master's in Mathematics OR Bachelor's in Statistics OR Master's in Statistics

Missing keywords (2)

  • Recent graduate
  • Limited or no professional experience
Disclaimer: All names, images, contact information, employment histories, achievements, security clearances, military credentials, and other qualifications shown in this content are fictional and used for illustrative purposes only. Any resemblance to actual persons, living or deceased, is purely coincidental.

Resume and cover-letter examples and recommendations in this article reflect general best practices and professional experience and are provided for guidance only. Results may vary based on role, industry, region, and hiring organization.

Content Accuracy and Verification: To the fullest extent permitted by applicable law, we do not represent or warrant that resume or cover-letter guidance, examples, recommendations, or related information are accurate, complete, current, error-free, or suitable for any particular purpose. You are responsible for independently reviewing and verifying the information before relying on it.

ATS and Cover-Letter Scores: ATS scores are estimates calculated using our own formula, informed by publicly available guidance on resume formatting and keyword matching. They are not scores issued or endorsed by an ATS provider or employer. Cover-letter scores are also our own assessments. Parsing, weighting, screening criteria, and results vary between systems, employers, job descriptions, and document formats. No score guarantees successful parsing, a particular ranking, an interview, or employment. Use scores as general guidance and independently check your documents against the employer’s requirements. To the fullest extent permitted by applicable law, we accept no liability for errors in scores or parsing, or losses arising from reliance on these assessments. Nothing in this notice excludes liability or limits consumer rights that cannot lawfully be excluded or limited.

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