Data engineer job roles vary across different industries and companies. Explore the different types of roles fulfilled by data engineers in this guide.
Here’s what we’ll cover:
Data engineers form the backbone of an organization’s data ecosystem. They build data pipelines that enable data scientists to perform exploratory analysis and unearth conclusions from data that drive high-impact business decisions.
Because they are further away from the end product, data engineers tend to receive less recognition than data scientists.
In smaller companies, data engineers may perform the role of a full-stack data scientist, which includes data analysis and reporting. In a large enterprise, data engineers work alongside data scientists to build data pipelines that enable data scientists to query data stored in data warehouses.
Below are some typical data engineer roles.
Ready to switch careers to data engineering?
Data engineering is currently one of tech’s fastest-growing sectors. Data engineers enjoy high job satisfaction, varied creative challenges, and a chance to work with ever-evolving technologies. Springboard now offers a comprehensive data engineering bootcamp.
You’ll work with a one-on-one mentor to learn key aspects of data engineering, including designing, building, and maintaining scalable data pipelines, working with the ETL framework, and learning key data engineering tools like MapReduce, Apache Hadoop, and Spark. You’ll also complete two capstone projects focused on real-world data engineering problems that you can showcase in job interviews.
Check out Springboard's Data Engineering Career Track to see if you qualify.
Download our guide to data science jobs
Learn everything you need to know about data science careers in this comprehensive guide
Ready to learn more?
Browse our Career Tracks and find the perfect fit