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The differences between data engineers and data consultants can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a data engineer and a data consultant. Additionally, a data engineer has an average salary of $109,675, which is higher than the $94,945 average annual salary of a data consultant.
The top three skills for a data engineer include python, java and cloud. The most important skills for a data consultant are analytics, data quality, and data management.
| Data Engineer | Data Consultant | |
| Yearly salary | $109,675 | $94,945 |
| Hourly rate | $52.73 | $45.65 |
| Growth rate | 21% | 11% |
| Number of jobs | 303,105 | 149,791 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 65% | Bachelor's Degree, 61% |
| Average age | 39 | 44 |
| Years of experience | 4 | 4 |
A data engineer is someone who makes data science possible. This IT job requires the search for data set trends and algorithm development to make raw data more beneficial to the enterprise. Data engineers are responsible for establishing and maintaining an environment that permits other data functions. The necessary skills for the job include in-depth knowledge of multiple programming languages and SQL database design. Among the other skills data engineers should develop include data warehousing and architecture, data mining and modeling, and statistical regression analysis.
A data consultant is primarily responsible for devising strategies on finding data and utilizing them according to the needs of a company. Most of the time, they are in charge of gathering data through various means and opportunities, maintaining and designing a database, coordinating with multiple data specialists, inspecting data for any inconsistencies, and performing corrective measures. Furthermore, a data consultant may develop systems and networks for data storage, all while adhering to the policies and standards of the company.
Data engineers and data consultants have different pay scales, as shown below.
| Data Engineer | Data Consultant | |
| Average salary | $109,675 | $94,945 |
| Salary range | Between $80,000 And $149,000 | Between $70,000 And $127,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | California | California |
| Best paying company | The Citadel | |
| Best paying industry | Technology | Health Care |
There are a few differences between a data engineer and a data consultant in terms of educational background:
| Data Engineer | Data Consultant | |
| Most common degree | Bachelor's Degree, 65% | Bachelor's Degree, 61% |
| Most common major | Computer Science | Business |
| Most common college | California State University - Long Beach | University of Pennsylvania |
Here are the differences between data engineers' and data consultants' demographics:
| Data Engineer | Data Consultant | |
| Average age | 39 | 44 |
| Gender ratio | Male, 81.5% Female, 18.5% | Male, 63.2% Female, 36.8% |
| Race ratio | Black or African American, 4.3% Unknown, 4.8% Hispanic or Latino, 8.0% Asian, 30.1% White, 52.7% American Indian and Alaska Native, 0.2% | Black or African American, 7.4% Unknown, 4.4% Hispanic or Latino, 8.4% Asian, 14.3% White, 65.3% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 8% | 12% |