Data Engineers Salaries in United States

31,438

Job Postings

USD 145,138 /yr

Average Base Pay

Low Average High

Average annual salary:

USD 117,671

Lower end of salary range

USD 142,318

Average of salary range

USD 169,000

Higher end of salary range

Cities in United States with the Most Jobs for Data Engineers

Here are the top 6 cities in United States with the most jobs for Data Engineers and the average yearly salary in each:

CompTool's Squirrel includes 31,438 jobs postings for Data Engineers in cities across United States.

Latest Data Engineers Jobs

Discover the latest competitive salaries for Data Engineers in United States.

Job Title Company Salary
Project Civil Engineer - Data Center Olsson USD 119,000
Senior Data Engineer Mayo Clinic USD 169,385
Data Engineer II Microsoft Corporation USD 149,800
Data Center Mechanical Engineer NTT DATA North America USD 90,000
Data Engineer Safran USD 90,000
Senior Data Engineer - Digital Pathology - Remote Mayo Clinic USD 169,385
AWS Software Engineer III - Python/Data Pipeline JPMorgan Chase USD 159,000
Python Data Engineer II JPMorgan Chase USD 112,500
Data Engineer Microsoft Corporation USD 177,250
Software Engineer Identity Data Platform Microsoft Corporation USD 124,700

Companies With Most Job Postings in United States For Data Engineers

If you're looking for a diverse range of job opportunities, consider exploring positions at these companies, which have a significant number of Data Engineers job postings in United States:

FAQs

Here are some frequently asked questions related to Data Engineers job postings and salaries in United States:

Q What skills are required for a Data Engineer job?
A Skills required for a Data Engineer job typically include expertise in SQL, experience with big data tools like Hadoop or Spark, proficiency in programming languages like Python or Java, understanding of data warehousing solutions, and knowledge of ETL tools. Familiarity with cloud services such as AWS, Azure, or Google Cloud is also valuable, as is experience with data pipeline and workflow management.
Q What are the responsibilities of a Data Engineer?
A Responsibilities of a Data Engineer include designing, constructing, installing, testing, and maintaining highly scalable data management systems; ensuring that the architecture supports the business requirements; building high-performance algorithms, predictive models, and prototypes; and integrating new data management technologies and software engineering tools into existing structures.
Q What is the career progression for a Data Engineer?
A The career progression for a Data Engineer typically starts with an entry-level position, moving up to a senior data engineer. With further experience and depending on the company structure, they can progress to roles such as Data Architect, Data Engineering Manager, or Big Data Engineer. Some may specialize in certain areas like machine learning or analytics, or move into broader data science roles.
Q How do Data Engineer salaries vary by experience in the United States?
A Data Engineer salaries in the United States vary by experience level. Entry-level data engineers typically earn lower salaries, while mid-level engineers with several years of experience earn more. Those with extensive experience, particularly in managing teams or large-scale projects, may command higher salaries. Additionally, certifications and specialized skills can influence compensation, as can the industry and location of employment.

List of Job Postings for Data Engineers in United States

Explore our extensive list of Data Engineers job postings in United States. Whether you're seeking your first job or considering a career move, you'll find a diverse range of opportunities. Click on the job titles to access more details and application links.

31,438 Job Postings
Data Engineers in United States
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