- Blog Categories
- Software Development Projects and Ideas
- 12 Computer Science Project Ideas
- 28 Beginner Software Projects
- Top 10 Engineering Project Ideas
- Top 10 Easy Final Year Projects
- Top 10 Mini Projects for Engineers
- 25 Best Django Project Ideas
- Top 20 MERN Stack Project Ideas
- Top 12 Real Time Projects
- Top 6 Major CSE Projects
- 12 Robotics Projects for All Levels
- Java Programming Concepts
- Abstract Class in Java and Methods
- Constructor Overloading in Java
- StringBuffer vs StringBuilder
- Java Identifiers: Syntax & Examples
- Types of Variables in Java Explained
- Composition in Java: Examples
- Append in Java: Implementation
- Loose Coupling vs Tight Coupling
- Integrity Constraints in DBMS
- Different Types of Operators Explained
- Career and Interview Preparation in IT
- Top 14 IT Courses for Jobs
- Top 20 Highest Paying Languages
- 23 Top CS Interview Q&A
- Best IT Jobs without Coding
- Software Engineer Salary in India
- 44 Agile Methodology Interview Q&A
- 10 Software Engineering Challenges
- Top 15 Tech's Daily Life Impact
- 10 Best Backends for React
- Cloud Computing Reference Models
- Web Development and Security
- Find Installed NPM Version
- Install Specific NPM Package Version
- Make API Calls in Angular
- Install Bootstrap in Angular
- Use Axios in React: Guide
- StrictMode in React: Usage
- 75 Cyber Security Research Topics
- Top 7 Languages for Ethical Hacking
- Top 20 Docker Commands
- Advantages of OOP
- Data Science Projects and Applications
- 42 Python Project Ideas for Beginners
- 13 Data Science Project Ideas
- 13 Data Structure Project Ideas
- 12 Real-World Python Applications
- Python Banking Project
- Data Science Course Eligibility
- Association Rule Mining Overview
- Cluster Analysis in Data Mining
- Classification in Data Mining
- KDD Process in Data Mining
- Data Structures and Algorithms
- Binary Tree Types Explained
- Binary Search Algorithm
- Sorting in Data Structure
- Binary Tree in Data Structure
- Binary Tree vs Binary Search Tree
- Recursion in Data Structure
- Data Structure Search Methods: Explained
- Binary Tree Interview Q&A
- Linear vs Binary Search
- Priority Queue Overview
- Python Programming and Tools
- Top 30 Python Pattern Programs
- List vs Tuple
- Python Free Online Course
- Method Overriding in Python
- Top 21 Python Developer Skills
- Reverse a Number in Python
- Switch Case Functions in Python
- Info Retrieval System Overview
- Reverse a Number in Python
- Real-World Python Applications
- Data Science Careers and Comparisons
- Data Analyst Salary in India
- Data Scientist Salary in India
- Free Excel Certification Course
- Actuary Salary in India
- Data Analyst Interview Guide
- Pandas Interview Guide
- Tableau Filters Explained
- Data Mining Techniques Overview
- Data Analytics Lifecycle Phases
- Data Science Vs Analytics Comparison
- Artificial Intelligence and Machine Learning Projects
- Exciting IoT Project Ideas
- 16 Exciting AI Project Ideas
- 45+ Interesting ML Project Ideas
- Exciting Deep Learning Projects
- 12 Intriguing Linear Regression Projects
- 13 Neural Network Projects
- 5 Exciting Image Processing Projects
- Top 8 Thrilling AWS Projects
- 12 Engaging AI Projects in Python
- NLP Projects for Beginners
- Concepts and Algorithms in AIML
- Basic CNN Architecture Explained
- 6 Types of Regression Models
- Data Preprocessing Steps
- Bagging vs Boosting in ML
- Multinomial Naive Bayes Overview
- Gini Index for Decision Trees
- Bayesian Network Example
- Bayes Theorem Guide
- Top 10 Dimensionality Reduction Techniques
- Neural Network Step-by-Step Guide
- Technical Guides and Comparisons
- Make a Chatbot in Python
- Compute Square Roots in Python
- Permutation vs Combination
- Image Segmentation Techniques
- Generative AI vs Traditional AI
- AI vs Human Intelligence
- Random Forest vs Decision Tree
- Neural Network Overview
- Perceptron Learning Algorithm
- Selection Sort Algorithm
- Career and Practical Applications in AIML
- AI Salary in India Overview
- Biological Neural Network Basics
- Top 10 AI Challenges
- Production System in AI
- Top 8 Raspberry Pi Alternatives
- Top 8 Open Source Projects
- 14 Raspberry Pi Project Ideas
- 15 MATLAB Project Ideas
- Top 10 Python NLP Libraries
- Naive Bayes Explained
- Digital Marketing Projects and Strategies
- 10 Best Digital Marketing Projects
- 17 Fun Social Media Projects
- Top 6 SEO Project Ideas
- Digital Marketing Case Studies
- Coca-Cola Marketing Strategy
- Nestle Marketing Strategy Analysis
- Zomato Marketing Strategy
- Monetize Instagram Guide
- Become a Successful Instagram Influencer
- 8 Best Lead Generation Techniques
- Digital Marketing Careers and Salaries
- Digital Marketing Salary in India
- Top 10 Highest Paying Marketing Jobs
- Highest Paying Digital Marketing Jobs
- SEO Salary in India
- Brand Manager Salary in India
- Content Writer Salary Guide
- Digital Marketing Executive Roles
- Career in Digital Marketing Guide
- Future of Digital Marketing
- MBA in Digital Marketing Overview
- Digital Marketing Techniques and Channels
- 9 Types of Digital Marketing Channels
- Top 10 Benefits of Marketing Branding
- 100 Best YouTube Channel Ideas
- YouTube Earnings in India
- 7 Reasons to Study Digital Marketing
- Top 10 Digital Marketing Objectives
- 10 Best Digital Marketing Blogs
- Top 5 Industries Using Digital Marketing
- Growth of Digital Marketing in India
- Top Career Options in Marketing
- Interview Preparation and Skills
- 73 Google Analytics Interview Q&A
- 56 Social Media Marketing Q&A
- 78 Google AdWords Interview Q&A
- Top 133 SEO Interview Q&A
- 27+ Digital Marketing Q&A
- Digital Marketing Free Course
- Top 9 Skills for PPC Analysts
- Movies with Successful Social Media Campaigns
- Marketing Communication Steps
- Top 10 Reasons to Be an Affiliate Marketer
- Career Options and Paths
- Top 25 Highest Paying Jobs India
- Top 25 Highest Paying Jobs World
- Top 10 Highest Paid Commerce Job
- Career Options After 12th Arts
- Top 7 Commerce Courses Without Maths
- Top 7 Career Options After PCB
- Best Career Options for Commerce
- Career Options After 12th CS
- Top 10 Career Options After 10th
- 8 Best Career Options After BA
- Projects and Academic Pursuits
- 17 Exciting Final Year Projects
- Top 12 Commerce Project Topics
- Top 13 BCA Project Ideas
- Career Options After 12th Science
- Top 15 CS Jobs in India
- 12 Best Career Options After M.Com
- 9 Best Career Options After B.Sc
- 7 Best Career Options After BCA
- 22 Best Career Options After MCA
- 16 Top Career Options After CE
- Courses and Certifications
- 10 Best Job-Oriented Courses
- Best Online Computer Courses
- Top 15 Trending Online Courses
- Top 19 High Salary Certificate Courses
- 21 Best Programming Courses for Jobs
- What is SGPA? Convert to CGPA
- GPA to Percentage Calculator
- Highest Salary Engineering Stream
- 15 Top Career Options After Engineering
- 6 Top Career Options After BBA
- Job Market and Interview Preparation
- Why Should You Be Hired: 5 Answers
- Top 10 Future Career Options
- Top 15 Highest Paid IT Jobs India
- 5 Common Guesstimate Interview Q&A
- Average CEO Salary: Top Paid CEOs
- Career Options in Political Science
- Top 15 Highest Paying Non-IT Jobs
- Cover Letter Examples for Jobs
- Top 5 Highest Paying Freelance Jobs
- Top 10 Highest Paying Companies India
- Career Options and Paths After MBA
- 20 Best Careers After B.Com
- Career Options After MBA Marketing
- Top 14 Careers After MBA In HR
- Top 10 Highest Paying HR Jobs India
- How to Become an Investment Banker
- Career Options After MBA - High Paying
- Scope of MBA in Operations Management
- Best MBA for Working Professionals India
- MBA After BA - Is It Right For You?
- Best Online MBA Courses India
- MBA Project Ideas and Topics
- 11 Exciting MBA HR Project Ideas
- Top 15 MBA Project Ideas
- 18 Exciting MBA Marketing Projects
- MBA Project Ideas: Consumer Behavior
- What is Brand Management?
- What is Holistic Marketing?
- What is Green Marketing?
- Intro to Organizational Behavior Model
- Tech Skills Every MBA Should Learn
- Most Demanding Short Term Courses MBA
- MBA Salary, Resume, and Skills
- MBA Salary in India
- HR Salary in India
- Investment Banker Salary India
- MBA Resume Samples
- Sample SOP for MBA
- Sample SOP for Internship
- 7 Ways MBA Helps Your Career
- Must-have Skills in Sales Career
- 8 Skills MBA Helps You Improve
- Top 20+ SAP FICO Interview Q&A
- MBA Specializations and Comparative Guides
- Why MBA After B.Tech? 5 Reasons
- How to Answer 'Why MBA After Engineering?'
- Why MBA in Finance
- MBA After BSc: 10 Reasons
- Which MBA Specialization to choose?
- Top 10 MBA Specializations
- MBA vs Masters: Which to Choose?
- Benefits of MBA After CA
- 5 Steps to Management Consultant
- 37 Must-Read HR Interview Q&A
- Fundamentals and Theories of Management
- What is Management? Objectives & Functions
- Nature and Scope of Management
- Decision Making in Management
- Management Process: Definition & Functions
- Importance of Management
- What are Motivation Theories?
- Tools of Financial Statement Analysis
- Negotiation Skills: Definition & Benefits
- Career Development in HRM
- Top 20 Must-Have HRM Policies
- Project and Supply Chain Management
- Top 20 Project Management Case Studies
- 10 Innovative Supply Chain Projects
- Latest Management Project Topics
- 10 Project Management Project Ideas
- 6 Types of Supply Chain Models
- Top 10 Advantages of SCM
- Top 10 Supply Chain Books
- What is Project Description?
- Top 10 Project Management Companies
- Best Project Management Courses Online
- Salaries and Career Paths in Management
- Project Manager Salary in India
- Average Product Manager Salary India
- Supply Chain Management Salary India
- Salary After BBA in India
- PGDM Salary in India
- Top 7 Career Options in Management
- CSPO Certification Cost
- Why Choose Product Management?
- Product Management in Pharma
- Product Design in Operations Management
- Industry-Specific Management and Case Studies
- Amazon Business Case Study
- Service Delivery Manager Job
- Product Management Examples
- Product Management in Automobiles
- Product Management in Banking
- Sample SOP for Business Management
- Video Game Design Components
- Top 5 Business Courses India
- Free Management Online Course
- SCM Interview Q&A
- Fundamentals and Types of Law
- Acceptance in Contract Law
- Offer in Contract Law
- 9 Types of Evidence
- Types of Law in India
- Introduction to Contract Law
- Negotiable Instrument Act
- Corporate Tax Basics
- Intellectual Property Law
- Workmen Compensation Explained
- Lawyer vs Advocate Difference
- Law Education and Courses
- LLM Subjects & Syllabus
- Corporate Law Subjects
- LLM Course Duration
- Top 10 Online LLM Courses
- Online LLM Degree
- Step-by-Step Guide to Studying Law
- Top 5 Law Books to Read
- Why Legal Studies?
- Pursuing a Career in Law
- How to Become Lawyer in India
- Career Options and Salaries in Law
- Career Options in Law India
- Corporate Lawyer Salary India
- How To Become a Corporate Lawyer
- Career in Law: Starting, Salary
- Career Opportunities: Corporate Law
- Business Lawyer: Role & Salary Info
- Average Lawyer Salary India
- Top Career Options for Lawyers
- Types of Lawyers in India
- Steps to Become SC Lawyer in India
- Tutorials
- C Tutorials
- Recursion in C: Fibonacci Series
- Checking String Palindromes in C
- Prime Number Program in C
- Implementing Square Root in C
- Matrix Multiplication in C
- Understanding Double Data Type
- Factorial of a Number in C
- Structure of a C Program
- Building a Calculator Program in C
- Compiling C Programs on Linux
- Java Tutorials
- Handling String Input in Java
- Determining Even and Odd Numbers
- Prime Number Checker
- Sorting a String
- User-Defined Exceptions
- Understanding the Thread Life Cycle
- Swapping Two Numbers
- Using Final Classes
- Area of a Triangle
- Skills
- Software Engineering
- JavaScript
- Data Structure
- React.js
- Core Java
- Node.js
- Blockchain
- SQL
- Full stack development
- Devops
- NFT
- BigData
- Cyber Security
- Cloud Computing
- Database Design with MySQL
- Cryptocurrency
- Python
- Digital Marketings
- Advertising
- Influencer Marketing
- Search Engine Optimization
- Performance Marketing
- Search Engine Marketing
- Email Marketing
- Content Marketing
- Social Media Marketing
- Display Advertising
- Marketing Analytics
- Web Analytics
- Affiliate Marketing
- MBA
- MBA in Finance
- MBA in HR
- MBA in Marketing
- MBA in Business Analytics
- MBA in Operations Management
- MBA in International Business
- MBA in Information Technology
- MBA in Healthcare Management
- MBA In General Management
- MBA in Agriculture
- MBA in Supply Chain Management
- MBA in Entrepreneurship
- MBA in Project Management
- Management Program
- Consumer Behaviour
- Supply Chain Management
- Financial Analytics
- Introduction to Fintech
- Introduction to HR Analytics
- Fundamentals of Communication
- Art of Effective Communication
- Introduction to Research Methodology
- Mastering Sales Technique
- Business Communication
- Fundamentals of Journalism
- Economics Masterclass
- Free Courses
Data Engineer Salary in USA: How Much Can You Make in 2024?
Updated on 25 October, 2024
8.55K+ views
• 13 min read
Table of Contents
- What Does a Data Engineer Do?
- How Much Do Data Engineers Make in the US?
- Demand for Data Engineers in the USA
- Data Engineer Salaries by Role in the US
- Data Engineer Salaries by Industry in the US
- Data Engineer Salaries by Experience in the US
- Data Engineer Salaries by Education in the USA
- How to Boost Your Data Engineer Salary?
- Top Paying Industries for Data Engineers in the US
- What are the Data Engineer Salaries in Top Companies in the US?
- Top Paying Cities for Data Engineers in the US
- Conclusion
Demand for data engineers is at a peak today globally due to the massive amount of data that companies accumulate and work with this data to draw actionable insights and make better business decisions. To do that, the generated data must be interpreted to be understood by the end user. That's where the data engineer comes into the picture, making it a demanding profession today. Currently, 6,500 LinkedIn users identify as data engineers. Talking specifically about the USA, there are 6,600 job advertisements for this title in San Francisco alone. A fundamental shift has occurred, turning IT firms into data corporations and creating demand for data skills. Uber, Airbnb, Spotify, and other companies that provide data products are vying for the talent needed to create and operate data systems, vying for data engineers! As per Stitch, 50% of the world's data engineers are located in the United States, making the continent an excellent place for data engineers.
Data engineer salary in US attracts a pretty decent amount. On average, a data engineer in USA earns over $1,14,435. This blog helps you understand more about the data engineer salary in US.
What Does a Data Engineer Do?
Data Engineers are responsible for creating and maintaining an analytics framework. In addition, data engineers create data procedures. One of the prime responsibilities of a data engineer is to develop, maintain and operate databases and processing systems.
Using data, a typical data engineer helps machines to perform their duties. Data scientists and data engineers work reciprocally. Data engineer gathers and collects answers to appropriate questions gathered by data scientists. Moreover, the data engineer further stores and processes the answers. Achieving a Data Engineer Certification demonstrates a deep understanding of these processes and skills.
How Much Do Data Engineers Make in the US?
Let's look at data engineer salaries in US.
Duration | Average | Lowest | Highest |
---|---|---|---|
Monthly (sourced from indeed.com) | $9,473 | $5,873 | $15,280 |
Monthly (sourced from glassdoor.com) | $9,378 | $6,912 | $17,985 |
Yearly (indeed.com) | $1,33,798 | $72,000 | $1,77,000 |
Yearly (glassdoor.com) | $112,530 | $82,950 | $2,15,816 |
Hourly in freelancing | $63 | $50 | $75 |
Data engineer salary in the US per month may vary depending on skill level, qualifications, locations, and company employment.
Demand for Data Engineers in the USA
The demand for Data Engineers isn't limited to the USA. It is rising on a global level. However, when it comes to the best lucrative career, the USA is the preferred location. Therefore we will stick to demand in the USA.
After the inception of databases like Hadoop and NoSQL, there's a constant rise in the requirement for processing unstructured or semi-structured data. Data Engineers are responsible for these tasks.
Organizations with a team of data scientists are employing data engineers rapidly because data engineers are known to solve real-world issues efficiently and quickly.
Despite data science is being a thing of the essence, the world is adapting to use operational data where the end user can perform their analytics. Data Engineers help in this area by enabling integrated data structures and pipelines.
To summarize, with the constantly evolving various data types processes and ways to process data, the demand for Data Engineers will go on increasing shortly.
Data Engineer Salaries by Role in the US
Data Engineer salary in US varies as per the role. Let's have a look. Along with other roles, the average salary of a big data engineer in US is also included.
Role | Data engineer salary US per year |
---|---|
Data Engineer | $1,14,501 |
Sr. Data Engineer | $1,40,687 |
Lead Data Engineer | $1,40,971 |
Source: glassdoor.com
Role | Salary per year |
---|---|
Data Engineer | $1,15,00 to $,50,000 |
Sr. Data Engineer | $1,50,00 to $1,58,000 |
Source: builtin.com
Role | Salary per year |
---|---|
Cloud Data Engineer | $1,16,497 |
AI Engineer | $1,26,774 |
Lead Data Engineer | $1,40,971 |
Big Data Engineer | $1,16,675 |
Data Science Engineer | $1,27,966 |
Database Architect | $1,43,601 |
Enterprise Data Architect | $1,72,872 |
Hadoop Engineer | $1,43,322 |
Information Systems Engineer | $92,340 |
Machine Learning Engineer | $1,29,932 |
Data Architect | $1,27,398 |
Data Engineer Salaries by Industry in the US
Data engineer salary in US may vary as per the industry/sector. Let's look at a few prominent sectors appointing data engineers. It lists the average salary of a data engineer in US.
1. Tech
The list of Tech companies in the USA is impressive. Herewith are the top 10 tech companies in the USA.
Company name | Salary per year |
---|---|
Apple | $75,000 - $2,21,113 |
Alphabet | $2,01,005 |
CISCO | $182,617 |
Dell | $1,72,615 |
Intel | $1,05,683 |
IBM | $1,11,780 |
HP | $1,26,263 |
Microsoft | $1,83,785 |
Meta | $35,294 - $2,79,252 |
Tesla | $135,627 |
2. Healthcare
Let's look at the Healthcare sector, depicting data engineers average salary US.
Company name | Salary per year |
---|---|
Aetna | $1,08,202 |
AmerisourceBergen | $1,11,108 |
Anthem | $94,140 |
Cardinal Health | $1,25,339 |
Express Scripts Holdings | $1,22,309 |
Johnson and Johnson | $1,32,785 |
McKesson | $1,34,406 |
United Health Group | $1,07,363 |
Pfizer | $1,21,529 |
Walgreens Boots Alliance | $1,15,000 |
3. Government
Department/Category | Salary per year |
---|---|
Federal | $117,032 – $126,963 |
Municipal Corporations | $77,045 – $106,036 |
4. Finance
Herewith is the list of the top 10 finance companies in the USA, displaying data engineer salary in America.
Company name | Salary per year |
---|---|
American Express | $1,39,897 |
Bank of America | $1,22,301 |
Berkshire Hathaway | $1,55,944 - $1,67,487 |
Citigroup | $1,15,101 |
Freddie Mac | $1,33,333 |
Goldman Sachs | $1,38,472 |
JPMorgan Chase | $1,26,199 |
MetLife | $88,363 |
U.S. Bank | $1,09,675 |
Wells Fargo | $1,15,122 |
Data Engineer Salaries by Experience in the US
Pay scale based on experience is the typical norm. So does it apply to data science engineer salary in US. Let's look at data engineer salary in US for freshers and experienced as well.
1. Entry-Level Data Engineer Salary
Data Engineers having zero to one year of experience fall into this category. The designation is generally Junior Data Engineer. As per industry data, an entry-level data engineer US salary is $102,341 to $146,751. Glassdoor.com estimates the amount as $119,670 for the data engineer average salary in US.
2. Mid-Level Data Engineer Salary
Data Engineers experienced within 3 to 7 years of experience fall into this category. As per builtin.com, the average data engineer salary in US in this category is $150,581.
3. Senior Data Engineer Salary US
Data Engineers with more than 6 years of experience as Senior Data Engineers. The salary of data engineer in USA is $140,661 and can go up to $200,000 per year, as per Glassdoor.
Data Engineer Salaries by Education in the USA
Academic qualifications play a crucial role in the salary of data engineers in US. The following information helps to understand how much a US data engineer salary can be, based on the qualifications. Let's look at data engineer salary United States with no degree or having a bachelor's or master's.
1. No Degree
Candidates with excellent programming skills often skip the degree part and concentrate on pursuing a software development course. With regular Bootcamp sessions and working on real-time live projects, they emerge as excellent programmers and able Data Engineers. The average salary for data engineers having no degree earn around $77,000 per year.
2. Bachelors
Bachelor of Data Engineers graduate in Software Engineering, Computer Sciences, Maths, Statistics, or relevant disciplines. However, they must acquire data engineering skills to become Data Engineers. It can be either by pursuing a course with Bootcamp programs or self-learning.
Having a degree widens your scope of getting employment, as most organizations want their employees with basic graduations. The mean salary for a Data Engineer with a bachelor's degree is $97,466.
3. Masters
Holding a Master's degree is a great advantage. It impacts the recruiters and talks about your patience and diligent attitude. Organizations prefer candidates with masters in engineering, computer science, and other relevant disciplines with formal training in Data Engineering. The mean salary of Data engineers with a master's degree is $1,06,629.
How to Boost Your Data Engineer Salary?
You may get a job with the salary you desire. However, there are instances when you have to adjust to a lesser salary. Here are a few helpful tips to bring your salary to the desired level or more.
1. Expand Your Skill Set
The simplest and straightforward way is to widen your skill sets. Practice more with SQL and Python to get fluent in those languages. Follow the latest market trends to understand what the market demands, and accordingly upgrade yourself. A training course in Online Data Science Certification helps you to expand your skill sets.
E.g., the requirement for Data engineers to have sound knowledge of cloud engineering and architecture is increasing. Getting experienced with these skills and relevant techniques will add more value to your position.
Payscale.com suggests upskilling with MapReduce results in a salary rise of around 27%. Other skills include Apache Airflow, which amounts to a hike of 16%, Apache Kafka to 15%, and JavaScript leads to an increase of 23%. Indeed.com suggests Redis as the most recommended skill, helping to hike the salary by 15.34% and CAP increasing it by 41.93%.
2. Choose the Right Location
Location plays an important role in offering a salary. Commonly factors like living cost and the job demand in a particular city play a major role in benchmarking the salary. An employee in New York City or San Francisco comparatively earns more than in other cities.
3. Gain More Experience
There's no great teacher than experience. Wherever you work, you may not get the overall exposure to become a seasoned data engineer. The best way to gain experience is to participate in open-source projects whenever you find free time. Documenting your work on Stack Overflow or GitHub will help you get better exposure. A few team leaders look for new talent on these forums.
4. Pursue a New Degree or Certification
Upgrading yourself with a new degree is a standard norm today. The more qualifications or certifications on your resume more is the scope to earn a job. In addition, it marks a positive impact on your recruiters about you dedicating your free time to building your future. They also find you trustworthy of being beneficial to their organization. You can opt for upGrad's Data Science Online Courses to upskill yourself.
Herewith are a few courses you can pursue to make yourself demanding.
- AWS Certified Big Data Specialty: AWS Certification demonstrates to potential employers that you possess the technical knowledge and experience necessary to carry out complicated data analytics.
- Azure Data Engineer Associate: The Microsoft Azure Data Engineer Certificate will provide you with a significant advantage in terms of employment and income.
- Cloudera Data Platform (CDP): You will discover how to track and secure data across all contexts while doing quick and simple analyses on it.
- Google Cloud Professional Data Engineer: This course is intended for more seasoned data analysts who are curious to deepen their understanding of the principles of big data and machine learning into a more advanced understanding of practical data engineering.
- IBM Certified Solution Architect - Data Warehouse V1: A person who can design, plan, and architect a data warehouse system is known as an IBM Certified Solution Architect - Data Warehouse V1.
- SAS Certified Big Data Professional certification: The need for SAS capabilities among organizations nowadays is very high. Learning those abilities and confirming them can open up new opportunities.
Top Paying Industries for Data Engineers in the US
Since 2021, the crown of the busiest and most demanding profile has been taken over by Data Engineers from Data Scientists. (Source: Data Science Interview Report by interviewquery.com) Herewith is a list of top-paying industries for Data Engineers in the USA.
- Technology
- Finance
- Healthcare
- Scientific Research
- Infrastructure
- Aerospace
What are the Data Engineer Salaries in Top Companies in the US?
Herewith is a list of a few top-paying companies for Data Engineers as per indeed.com, listing the average salary of data engineers in USA.
Company Name | Salary per year |
---|---|
Grainger | $1,76,992 |
Meta | $1,75,734 |
Netflix | $2,64,391 |
Glassdoor.com displays the following data.
Company Name | Salary per year |
---|---|
Meta | $1,75,830 |
Cisco Systems | $1,79,005 |
Amazon | $1,40,378 |
Capital One | $1,28,965 |
Note: The compensation depends on certain factors like qualification, experience, skill levels, etc.
Top Paying Cities for Data Engineers in the US
The following is a list of cities listed with average salaries for data engineers.
City | Salary per year |
---|---|
San Jose | $1,75,868 |
Los Angelos | $1,60,389 |
San Fransisco | $1,35,569 |
Chicago | $1,28,965 |
New York | $1,35,122 |
Boston | $1,19,089 |
Austin | $1,18,294 |
Atlanta | $1,16,085 |
Dallas | $1,12,217 |
Conclusion
Today, the demand for data engineers is ever-increasing. All companies have data scientists who are looking for data engineers to work on the data gathered by data analysts. Data engineering offers a lucrative career in the upcoming years in every industry segment and top-notch companies. Anyone can become a Data Engineer irrespective of a degree. Though a bachelor's or master's degree is essential to grab a job in some companies, an excellent mastery of programming skills can outdo this pre-condition. Hope this blog gives you a clear understanding of data engineer salary in USA.
Frequently Asked Questions (FAQs)
1. Is a data engineer internship a good way to get a job in the US?
There's a high demand for data engineering interns. As per NACE Center for Career Development and Talent Acquisition, a paid internship paves the way to getting a job. Moreover, graduates who work as interns have a high probability of earning a job than those who don't intern.
2. What is considered to be a good data engineer salary in the US?
According to Glassdoor.com, the average salary of a data engineer is $1,14,520. Indeed.com gives an amount of $134,138. You can consider your salary good if it exceeds the mean level.
3. Who gets paid more, data engineers or data scientists in the US?
Averagely, a data engineer earns up to $90,830, while a data scientist earns $91,470. It doesn't show much difference when observed from the surface level. But on the bottom line, a data scientist earns more than a data engineer by almost 20 to 30%.
4. Do data engineers make more than ML engineers in the US?
ML engineers earn more than data scientists. Data scientists earn more than data engineers. So indirectly, ML engineers earn more than data engineers. But the catch is openings for data engineers are more than for ML engineers.
5. Is data engineering a high-paying job in America?
Data engineers can get a hefty salary if they can earn a job in top-performing companies. If employed with a mid-sized company, a data engineer can upgrade and upskills with relevant certifications and techniques and try to get into a bigger company.
Did you find this article helpful?
Get Free Consultation
By clicking "Submit" you Agree toupGrad's Terms & Conditions
FREE COURSES
Start Learning For Free