Data Science
Data Engineer
Every clever dashboard, every machine-learning model, every executive report rests on plumbing that someone built and maintains. Data engineers build that plumbing. They design the pipelines that move information from production systems into warehouses where analysts and scientists can use it, and they keep those pipelines reliable as data volumes grow.
The role suits students who enjoy systems thinking and care about how things actually work under load. Days involve writing transformations in dbt, scheduling jobs in Airflow, and quietly catching bad data before it reaches a decision maker. Excellence shows as pipelines nobody notices because they never break.
You grow into this by writing a lot of SQL, picking up Python, and learning one cloud platform deeply.
US$119,658 median salary in United States¹
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
Related roles you may want to explore
Browse all roles →Industry teams behind a decade of practitioner briefs
Hiring from this pool?
Sponsor a challenge and meet candidates through actual work.
Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.
¹ Median annual salary computed from the salary histogram of 50 current Adzuna job postings for "Data Engineer" in United States, fetched May 2026. Skills come from the disciplines tagged on live Ewance challenges for this role.
Portrait: Photo by Kuanish Reymbaev on Unsplash.



















































































