数据工程师：数据工程师负责准备数据，由数据科学家或数据分析师进一步分析。数据工程师从各种资源中提取、收集和集成数据并管理这些数据。数据工程师不依赖任何人。此外，数据工程师只是收集数据，因此不需要他在公司决策过程中的建议。
数据科学家：数据科学家处理数据工程师提供的数据。数据科学家分析数据，并根据该数据分析提供有关公司应如何运作的见解。数据科学家依赖于数据工程师。在进行决策时，会考虑数据科学家的分析。
下表列出了数据工程师和数据科学家之间的差异：
| S.No | Data Engineer | Data Scientist |
|---|---|---|
| 1 | “Architect” of the data | “Builder” of the “architect’s” plan |
| 2 | Extracts, Collects and Integrates data | Analyses the data provided by the engineer |
| 3 | Independent | Dependent on the engineer’s data |
| 4 | No say in the decision-making | Analysis of data scientist is considered for the decision-making process of a company |
| 5 | Data Warehousing, ETL, Advance programming, Hadoop, SQL, Data architecture and pipelining, Machine Learning, etc. are the skills required | R or Python or SAS, statistical analysis, Apache Spark, Machine Learning and AI, Data Visualization and data mining are the skills required. |
| 6 | Is responsible for the accuracy of data. | Creates a connection between a stakeholder and a customer. |
| 7 | Deals with raw data | Deals with the data manipulated by the data engineers |
| 8 | No need to have any storytelling skills to convey the result | Needs to have storytelling skills to present the analysis |
虽然两者互不相同，但却是组织机构的重要组成部分。两者缺一不可，又是相辅相成的。