Data & Analytics

Entry LevelData Engineer Resume Example

Use this free entry leveldata engineer resume sample as your starting point, then tailor it for your experience level and target job.

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Data Engineer Resume Template (entry level)

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Professional Summary

Recent Computer Science graduate with a specialization in Data Engineering. Proficient in building ETL pipelines using Python and SQL. Eager to apply cloud computing knowledge and problem-solving skills to manage large-scale data infrastructure.

Professional Experience

Data Engineering InternJun 2025 - Aug 2025
TechFlow Solutions, Austin, TX
  • Assisted in migrating on-premise CSV data to AWS S3, improving data accessibility for the analytics team.
  • Wrote Python scripts using Pandas to clean and validate 500GB of raw log data.
  • Documented database schemas and pipeline architecture for internal knowledge bases.
Undergraduate ResearcherSep 2024 - May 2025
University of Texas, Austin, TX
  • Built a web scraper to collect real-time weather data and stored it in a PostgreSQL database.
  • Automated daily data extraction jobs using Cron and Bash scripting.

Skills

Python (Pandas, PySpark), SQL, ETL Concepts, AWS (S3, Glue Basics), Git/GitHub, Linux Command Line

Education

B.S. Computer ScienceMay 2025
University of Texas at Austin
  • Capstone: 'Real-time Sentiment Analysis Pipeline' using Kafka and Spark.

Certifications

  • AWS Certified Cloud Practitioner

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Key Skills for Data Engineer

Python (Pandas, PySpark)SQLETL ConceptsAWS (S3, Glue Basics)Git/GitHubLinux Command Line

ATS Keywords for Data Engineer

Use these naturally in your summary, skills, and experience when they reflect your background.

Data EngineerPythonSQLETL ConceptsAWSGit / GitHubLinux Command LineAWS Cloud Practitionersoftware developmenttroubleshootingtechnical documentationautomation

How to Write an Entry Level Data Engineer Resume

An entry-level Data Engineer resume has one job: prove you can build a working pipeline, not just talk about one. Highlight coursework projects, internships, or personal builds where you moved raw data through Python and SQL into something usable, and pair that with your AWS Cloud Practitioner credential to signal cloud readiness.

Resume Writing Tips

Show a Complete ETL Pipeline, Not Just a Script

List a project where you extracted data with Python, transformed it with Pandas or PySpark, and loaded it into S3 or a database — quantify volume (e.g., 'processed 2M rows') so recruiters see real throughput, not a toy exercise.

Lead With SQL Fluency

Data Engineer job postings screen for SQL before anything else. Describe writing joins, window functions, or aggregations against a real or public dataset, and mention any query you optimized for speed, even a small runtime improvement counts.

Turn Git and Linux Into Proof of Engineering Habits

Show you version-controlled your project on GitHub with meaningful commits, and that you're comfortable navigating a Linux shell to run scripts or check logs — small signals that separate you from candidates who only wrote code in a notebook.

Skills to Highlight

Python (Pandas, PySpark)

Reference a specific transformation you wrote — deduplicating records, handling nulls, or reshaping a dataset with Pandas — rather than just listing the library, so hiring managers see applied, not textbook, knowledge.

AWS (S3, Glue Basics)

Mention storing or retrieving files from S3 and, if you've touched AWS Glue, describe a basic crawler or job you configured — concrete cloud exposure matters more than a certification alone.

ETL Concepts

Explain a pipeline you built in extract-transform-load terms: what source you pulled from, what transformation logic you applied, and where the clean output landed, even if the pipeline was for a class project.

Git/GitHub

Link a public repository showing incremental commits and a clear README, proving you can collaborate on code the way a real engineering team expects from day one.

Common Questions

Do I need work experience to apply for entry-level Data Engineer roles?

No — most entry-level postings expect academic projects, internships, or self-built pipelines instead of paid experience. What matters is demonstrable proof: a GitHub repo, a documented ETL project, or a capstone that moved real data through Python and SQL into a usable output.

Should I include my AWS Cloud Practitioner certification on my resume?

Yes, place it near the top of your skills or summary section. It signals baseline cloud literacy to recruiters screening for AWS familiarity, and it partially offsets the lack of hands-on production experience that most entry-level candidates share.

How technical should an entry-level Data Engineer resume be?

Specific enough to name tools and outputs, not so dense it reads like documentation. State what you built, which technologies you used — Python, SQL, S3 — and one measurable result, like rows processed or runtime, then let your projects section carry the deeper detail.

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