Data Engineers Salaries in United States

20,313

Job Postings

USD 147,392 /yr

Average Base Pay

Low Average High

Average annual salary:

USD 122,468

Lower end of salary range

USD 145,517

Average of salary range

USD 172,509

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 20,313 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
Senior Logging & Data Engineer KPMG USD 127,952
Senior Data Engineer (Cloud Operations Resilience Engineering) Capital One USD 127,952
Senior Lead Data Engineer (Intelligent Foundations and Experiences) Capital One USD 187,008
Senior Logging & Data Engineer KPMG USD 147,638
Senior Data Engineer, People Team UnitedHealth Group USD 108,267
Senior Logging & Data Engineer KPMG USD 108,267
Data Center Infrastructure Engineer II - AMZ14396.9 myGwork LGBTQ Business Community USD 140,975
Machine Learning Engineer - ML Data Apple USD 187,008
Data Engineer Meta USD 193,450
Data Engineer, Analytics Shutterstock, Inc. USD 148,955

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.

20,313 Job Postings
Data Engineers in United States
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