Skip to main content
Information Technology - Careers

Information Technology

Information Technology | Data Engineer

Data Engineer

What Does a Professional in this Career Do?

A Data Engineer 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.

Job Outlook

There were 1429 Data Engineer job postings in North Carolina in the past year and 37777 in the United States.

In combination with other careers in the Data Engineer industry, which includes the Data Engineer career, the following graph shows the number of people employed for each year since 2016:

Salary

Many new Data Engineer jobs have salaries estimated to be in the following ranges, based on the requirements and responsibilities listed in job postings from the past year.

National

The average estimated salary in the United States for this career, based on job postings in the past year, is $121,725.

State

The average estimated salary in North Carolina for this career, based on job postings in the past year, is $115,884.

Percentiles represent the percentage that is lower than the value. For example, 25% of estimated salaries for Data Engineer postings in the United States in the past year were lower than $105,884.

Education and Experience

Posted Data Engineer jobs typically require the following level of education. The numbers below are based on job postings in the United States from the past year. Not all job postings list education requirements.

Education LevelPercentage
Associate's Degree0%
Bachelor's Degree58.26%
Master's Degree22.94%
Doctoral Degree3.05%
Other1.98%

Posted Data Engineer jobs typically require the following number of years of experience. The numbers below are based on job postings in the United States from the past year. Not all job postings list experience requirements.

Years of ExperiencePercentage
0 to 2 years11.48%
3 to 5 years51.81%
6 to 8 years22.99%
9+ years13.72%

Skills

Below are listings of the most common general and specialized skills Data Engineer positions expect applicants to have as well as the most common skills that distinguish individuals from their peers. The percentage of job postings that specifically mention each skill is also listed.

Baseline Skills

A skill that is required across a broad range of occupations, including this one.

  • Communication (34.74%)
  • Problem Solving (28.22%)
  • Management (21.3%)
  • Troubleshooting (Problem Solving) (20.58%)
  • Operations (14.5%)
  • Innovation (14.07%)
  • Leadership (13.97%)
  • Information Technology (11.34%)
  • Mentorship (10.81%)
  • Detail Oriented (10.21%)

Defining Skills

A core skill for this occupation, it occurs frequently in job postings.

  • Informatica (7.94%)
  • Data Lakes (16.89%)
  • Azure Data Factory (12.07%)
  • Apache Airflow (16.16%)
  • Agile Methodology (28.32%)
  • Data Analysis (27.11%)
  • Java (Programming Language) (18.81%)
  • Business Intelligence (21.21%)
  • Amazon Web Services (39.6%)
  • Microsoft Azure (32.83%)
  • Data Infrastructure (11.58%)
  • Computer Science (45.13%)
  • Apache Hadoop (16.24%)
  • Data Engineering (91.57%)
  • Big Data (28.02%)
  • Data Quality (29.8%)
  • Data Warehousing (41.01%)
  • Data Modeling (39.87%)
  • Extract Transform Load (ETL) (55.97%)
  • Data Transformation (7.77%)
  • Python (Programming Language) (67.96%)
  • Scalability (38.12%)
  • Apache Hive (9.61%)
  • SQL (Programming Language) (70%)
  • SQL Server Integration Services (SSIS) (6.74%)
  • Scala (Programming Language) (17.79%)
  • Databricks (20.44%)
  • PySpark (12.33%)
  • Data Ingestion (11.07%)
  • Amazon Redshift (15.59%)
  • Data Pipelines (50.88%)
  • Apache Spark (32.34%)

Necessary Skills

A skill that is requested frequently in this occupation but isn’t specific to it.

  • Workflow Management (20.47%)
  • Git (Version Control System) (10.46%)
  • Google Cloud Platform (GCP) (10.92%)
  • Artificial Intelligence (10.99%)
  • Data Management (16.12%)
  • Relational Databases (12.85%)
  • Application Programming Interface (API) (17.66%)
  • Software Development (10.44%)
  • Automation (22.34%)
  • Business Requirements (13.86%)
  • Amazon S3 (2.97%)
  • Version Control (9.31%)
  • Dashboard (12.21%)
  • Data Integrity (8.62%)
  • Data Processing (17.7%)
  • Data Security (10.11%)
  • Data Governance (19.55%)
  • Data Integration (18.04%)
  • Data Structures (8.18%)
  • R (Programming Language) (8.65%)
  • Data Visualization (13.05%)
  • Code Review (6.57%)
  • DevOps (12%)
  • Information Systems (9.21%)
  • Data Architecture (14.75%)
  • MySQL (7.15%)
  • Machine Learning (20.54%)
  • PostgreSQL (10.3%)
  • NoSQL (15.05%)
  • Tableau (Business Intelligence Software) (14.37%)
  • Project Management (9.03%)
  • Kubernetes (7.74%)
  • CI/CD (17.71%)
  • Scripting (14.82%)
  • Process Improvement (6.87%)
  • Scrum (Software Development) (7.38%)
  • Power BI (16.4%)
  • Data Storage (8.87%)
  • Apache Kafka (17.73%)
  • Statistics (6.96%)
  • Software Engineering (13.18%)
  • Docker (Software) (7.02%)
  • Terraform (6.74%)
  • Data Science (19.52%)
  • Programming Languages (12.86%)

Distinguishing Skills

A skill that may distinguish a subset of the occupation.

  • Azure Data Lake (4.37%)
  • AWS Kinesis (4.06%)
  • AWS Glue (5.45%)
  • Azure Databricks (4.76%)
  • Google BigQuery (6.51%)
  • Data Profiling (1.92%)
  • Distributed Data Store (3.73%)
  • Data Store (5.43%)
  • Query Optimization (2.77%)
  • Talend (3.15%)
  • Synapse Citrix (3%)
  • Real Time Data (6.49%)
  • Unstructured Data (8.02%)
  • DataOps (3.53%)
  • Azure Synapse Analytics (4.99%)

Salary Boosting Skills

A professional who wishes to excel in this career path may consider developing the following highly valued skills. The percentage of job postings that specifically mention each skill is listed.

  • Informatica (9.76%)
  • AWS Kinesis (4.99%)
  • AWS Glue (6.7%)
  • Java (Programming Language) (23.11%)
  • Agile Methodology (34.8%)
  • Distributed Data Store (4.58%)
  • Python (Programming Language) (83.51%)
  • Query Optimization (3.4%)
  • Scala (Programming Language) (21.87%)
  • PySpark (15.15%)

Alternative Job Titles

Sometimes employers post jobs with Data Engineer skills but a different job title. Some common alternative job titles include:

  • Lead Data Engineer
  • Manager/Data Engineer
  • Azure Engineer
  • Big Data Engineer
  • Staff Data Engineer
  • Principal Engineer
  • Analytics Engineer
  • Business Intelligence Engineer
  • Data Engineering Intern

Similar Occupations

If you are interested in exploring occupations with similar skills, you may want to research the following job titles. Note that we only list occupations that have at least one corresponding NC State Online and Distance Education program.

Common Employers

Here are the employers that have posted the most Data Engineer jobs in the past year along with how many they have posted.

United States

  • Amazon (913)
  • Insight Global (623)
  • GovCIO (420)
  • Robert Half (408)
  • Capital One (404)
  • Eliassen Group (377)
  • Motion Recruitment (343)
  • Kforce (323)
  • Randstad (310)
  • General Motors (304)

North Carolina

  • Randstad (46)
  • The Hartford (29)
  • Truist Financial (27)
  • Genesis10 (23)
  • Kforce (22)
  • Insight Global (21)
  • Infosys (18)
  • Motion Recruitment (18)
  • Lowe's (18)
  • ManpowerGroup (16)

NC State Programs Relevant to this Career

If you are interested in preparing for a career in this field, the following NC State Online and Distance Education programs offer a great place to start!