Data Engineer
Builds the pipelines and infrastructure that move and organize data for analysis.
A data engineer builds and maintains the systems that collect, clean, and move data from wherever it's generated to wherever analysts, data scientists, or applications need to use it. A typical day includes writing code to build or fix a data pipeline, optimizing how data is stored so it can be queried efficiently, and troubleshooting why a pipeline broke overnight.
The role is closer to software engineering than to data analysis; the core skill is building reliable, scalable systems, with the specific subject matter (sales data, sensor data, user activity) being almost secondary to the engineering problem.
Core tasks
- ✓Building and maintaining data pipelines
- ✓Designing database and data warehouse structures
- ✓Ensuring data quality and consistency
- ✓Optimizing systems for performance at scale
- ✓Troubleshooting pipeline failures
- ✓Collaborating with data analysts and scientists on data needs
Tools & skills used
Typical entry paths
- →Computer Science or Data Science with a strong software engineering focus
- →Many data engineers move into the role from software engineering or database administration
Common misconceptions
- It's not the same job as a data analyst or data scientist, the focus is on building reliable infrastructure, not analysis or modeling.
- The role requires solid software engineering skills, not just familiarity with data or spreadsheets.
Frequently asked questions
What does a Data Engineer do?
Builds the pipelines and infrastructure that move and organize data for analysis.
What are the core tasks of a Data Engineer?
Day to day, this typically includes: Building and maintaining data pipelines; Designing database and data warehouse structures; Ensuring data quality and consistency.
What tools or skills does a Data Engineer use?
Common tools and skills for this role include Programming (Python, SQL, and similar), Data pipeline and workflow tools, Database and data warehouse design, Cloud data platforms.
How do people typically become a Data Engineer?
Computer Science or Data Science with a strong software engineering focus. Many data engineers move into the role from software engineering or database administration.
What's a common misconception about being a Data Engineer?
It's not the same job as a data analyst or data scientist, the focus is on building reliable infrastructure, not analysis or modeling.
What college majors lead to becoming a Data Engineer?
Majors that commonly lead here include Computer Science, Data Science, Information Systems / MIS. A major shapes what you study, it isn't a guarantee of landing this specific role.
Printed from majoratlas.com/careers/data-engineer