Data Engineer Career

Information Technology

 

Data Engineer

Career Area: Information Technology

Occupation Group: Database Specialists

Salary

Percentile wages tell how much a certain percentage of an overall population in a geographic area or within a given industry or field makes. The percentile wage estimate is the value of a wage below which a certain percent of workers fall.

An example would be the 25th percentile, 25 percent of workers employed in that occupation earn less and 75 percent earn more than the estimated wage value. At the 75th percentile, 75 percent of workers employed in that occupation earn less and 25 percent earn more than the estimated wage value.

A typical Data Engineer earns the following wages (national and state):

State

The average salary in North Carolina for those pursuing this career is $108,684

*The salaries depicted here are representative of the range of salaries posted in job listings over the past year. Living wage in North Carolina is $30,000.

National

The average salary in the United States for those pursuing this career is $112,662

*The salaries depicted here are representative of the range of salaries posted in job listings over the past year. Living wage in North Carolina is $30,000.

What Does a Professional in this Career Do?

Designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data-√°in the way the organization needs it. Makes sure those systems are performing smoothly.

Employment Trends

The job demand and job growth statistics shown here were derived from job posts over the past year. Expected job growth projections are extrapolated from year-over-year job post listing history.

Job demand and job growth is expected at the following rates:

Growth
North Carolina1572+16%
Nationwide40077+11.5%

Skills

A professional in this position typically utilizes the following skills in the course of everyday work in this exciting and challenging field:

Baseline Skills

The following are baseline skills every Data Engineer is expected to have in order to experience success in this field:

  • Communication Skills: The ability to convey information to another effectively and efficiently.
  • Teamwork / Collaboration: Experience working in collaborative efforts with a team to achieve a common goal or to complete a task in the most effective and efficient way.
  • Problem Solving: Problem solving consists of using generic or ad hoc methods, in an orderly manner, for finding solutions to problems.
  • Writing: Experience expressing business messages effectively in written form. This may include planning drafting and revising as necessary.
  • Troubleshooting: Troubleshooting or dpanneuring is a form of problem solving, often applied to repair failed products or processes on a machine or a system.

Specialized Skills

These skills are specific to working in this career:

  • Python: Python is a widely used high-level programming language for general-purpose programming, created by Guido van Rossum and first released in 1991.
  • SQL: SQL ( ESS-kew-EL or SEE-kwl, Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
  • Big Data: Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them.
  • Extraction Transformation and Loading (ETL): In computing, Extract, Transform, Load (ETL) refers to a process in database usage and especially in data warehousing.
  • Apache Hadoop: Apache Hadoop ( ) is an open-source software framework used for distributed storage and processing of dataset of big data using the MapReduce programming model.

Distinguishing Skills

Any Data Engineer that possesses the following skills will stand out against the competition:

  • Relational DataBase Management System (RDBMS): A relational database management system (RDBMS) is a database management system (DBMS) that is based on the relational model as invented by Edgar F.Codd, of IBM's San Jose Research Laboratory.
  • Sqoop: Sqoop is a command-line interface application for transferring data between relational databases and Hadoop.
  • ElasticSearch: Working experience of ElasticSearch. Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.
  • Amazon Web Services (AWS): Working experience with one or many of Amazon's cloud computing platforms. These platforms allows subscribers to have at their disposal a full-fledged virtual cluster of computers, available all the time, through the Internet.
  • Apache Impala: Working experience of Apache Impala, which is an open source massively parallel processing (MPP) SQL query engine for data stored in a computer cluster running Apache Hadoop. Impala has been described as the open-source equivalent of Google F1, which inspired its development in 2012.

Education

This career typically requires the following level of education. The numbers presented in the pie charts below were derived from actual job posts over the past year. Not all job postings list education requirements.

.
Education Level%
Bachelor's Degree70%
Master's Degree27%
Doctoral Degree1%

Experience

This position typically requires the following level of experience. The numbers presented in the pie charts below were derived from actual job posts over the past year. Not all job postings list experience requirements.

Experience Required%
0 to 2 years16%
3 to 5 years58%
6 to 8 years19%

Many of the programs offered through NC State are designed for working professionals who need additional credentials to enhance existing work experience.

Students who do not have the expected level of experience may wish to look into internship and employment opportunities.

Common Job Titles

It is possible to find work in this field in positions commonly listed as the following job titles:

  • Data Engineer
  • Senior Data Engineer
  • Big Data Engineer
  • Senior Big Data Engineer
  • Lead Data Engineer

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