Data Engineer résumé example for 2026
A data engineering résumé is a list of systems that stayed up: pipelines, warehouses, serving layers. This example is adapted from a real engineer's openly licensed résumé spanning TPU-era TensorFlow work and a learning platform's entire data stack — the systems named are the systems built.
Adapted from a real résumé published under MIT — source repository. Name and contacts anonymized; the roles, stack and claims are the original author's own.
Opens in the editor as your own document. No account, and it never leaves your browser.
What a data engineer résumé has to show
- Named systems, not tasks — a warehouse, a pipeline framework, a serving layer
- The scale marker where one honestly exists (batch windows, platform-wide use)
- Both halves of the craft: offline training/ETL and online serving
- Open-source work if real — data engineering hires read GitHub
Bullets you can adapt
Every one names a system or a surface, a change, and a number. Take the shape, not the figures — substitute your own and keep them defensible.
- Worked on APIs and performance for training deep-learning models on Tensor Processing Units for an open-source ML library
- Built the bulk data-processing service injecting Hadoop output into Cassandra, with a thin REST layer serving offline-computed data online
- Set up, schema-designed and managed the Amazon Redshift warehouse, with daily ETL injection and an internal web app for access
- Open-sourced a workflow framework for creating and managing data pipelines from reusable patterns
- Built the core recommendations service used on the homepage and throughout content discovery — both offline training and online serving
- Standardized the analytics environment on Docker and AWS, writing the core libraries shared by every data scientist
And the ones to cut
These are duties and adjectives. They describe a job title, not a person doing it.
- Experienced data engineer skilled in big data technologies
- Worked with large datasets to derive insights
- Responsible for maintaining data pipelines
Keywords an ATS looks for
Include the ones that are true of you. Our free ATS checker scores your résumé against a specific job posting and shows the full keyword report.
Data Engineer résumé questions
What makes this example "real"?
Its content is adapted from a real engineer's résumé, published under the MIT licence in the repository credited above — one of GitHub's most-starred résumé repos. We anonymized the identity; the systems and claims are the author's own.
Do data engineering bullets need numbers?
Where they honestly exist. Notice this example leans on named systems and their role in the platform — a warehouse everyone queries is evidence even without a row count. Never invent a number; a fabricated metric fails the first interview question about it.
Data engineer vs data analyst — which title should I use?
Match the posting. This résumé is an engineer's: it builds infrastructure others analyze on. If your work is dashboards and analysis on existing infrastructure, our data-analyst example is the better pattern.