Data Engineers Salaries in United States

30,549

Job Postings

USD 145,242 /yr

Average Base Pay

Low Average High

Average annual salary:

USD 118,057

Lower end of salary range

USD 142,486

Average of salary range

USD 169,245

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 30,549 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
Data System Engineer US Tech Solutions USD 139,360
Data Systems Engineer - ELK/Kafka/Linux Jobs via Dice USD 140,400
Data Engineer Lensa USD 106,600
Financial Data Engineer Lensa USD 156,000
Data Engineer Genuent USD 140,400
Full Stack Engineer - Data Engineer (Hybrid position) The Planet Group USD 109,200
Machine Learning Operations Engineer (Data Engineer) Jobs via Dice USD 65,520
Data Systems Engineer - ELK/Kafka/Linux PTR Global USD 140,400
XDVT Data Engineer CADERA SYSTEMS LLC USD 93,600
Azure Data Engineer Akkodis Group Nordics USD 89,440

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.

30,549 Job Postings
Data Engineers in United States
Load more