Data Science Engineer Salary in the United States

How much does a Data Science Engineer make in the United States?

As of January 01, 2026, the average salary for a Data Science Engineer in the United States is $148,180 per year, which breaks down to an hourly rate of $71.

However, a Data Science Engineer's salary can vary significantly. Here’s a look at the typical salary range:

  • Top Earners (90th percentile): $171,163
  • Majority Range (25th-75th percentile): $137,774 to $160,210
  • Entry-Level (10th percentile): $128,300
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View as table View as graph 25% $137,774 10% $128,300 90% $171,163 75% $160,210 $148,180 50%(Median) Didn’t find job title? Click

Data Science Engineer Salaries by Percentile

Annual
Salary
Monthly
Pay
Weekly
Pay
Hourly
Wage
75th Percentile $160,210 $13,351 $3,081 $77
Average $148,180 $12,348 $2,850 $71
25th Percentile $137,774 $11,481 $2,650 $66
Check out Data Science Engineer Job Openings in the United States
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Key Factors That Influence Data Science Engineer Salaries

A Data Science Engineer's salary isn't a fixed number. It's shaped by several important factors. Below, we'll explore how your years of experience, geographic location and company size can directly affect your earning potential.

How Experience Level Affects Data Science Engineer Salaries?

Experience is a primary driver of a Data Science Engineer's salary. As you build your skills and take on more complex tasks, your compensation generally increases. Here's how the average salary grows at different career stages:

  • Entry-Level (less than 1 year): $143,393
  • Early Career (1-2 years): $143,861
  • Mid-Level (2-4 years): $145,422
  • Senior-Level (5-8 years): $147,295
  • Expert (over 8 years): $150,303
Levels Salary
Entry Level Data Science Engineer$143,393
Intermediate Level Data Science Engineer$143,861
Senior Level Data Science Engineer$145,422
Specialist Level Data Science Engineer$147,295
Expert Level Data Science Engineer$150,303
$143,393 0 yr
$143,861 < 2 yrs
$145,422 2-4 yrs
$147,295 5-8 yrs
$150,303 > 8 yrs
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What Am I Worth?

Top Paying Cities for Data Science Engineers

Salaries can also vary between different cities. Major metropolitan areas or cities with a high demand for technicians often offer more competitive pay. Here are a few examples of average annual salaries in different U.S. cities:

  • San Jose: $186,899
  • San Francisco: $185,062
  • Oakland: $180,957

What Skills Can Increase a Data Science Engineer's Salary?

Demanded Skills for the Role:

  • Analysis (Mentioned in 5.99% Job Postings): Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  • Algorithms (Mentioned in 2.87% Job Postings): Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines.
  • Data Mining (Mentioned in 1.44% Job Postings): Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset, e.g., analyzing the effectiveness of a marketing campaign, regardless of the amount of data; in contrast, data mining uses machine-learning and statistical models to uncover clandestine or hidden patterns in a large volume of data.
See More Skills
Skills Demand Percentage
Analysis 5.99%
Algorithms 2.87%
Data Mining 1.44%
What skills can make your compensation higher?
Mastering certain specialized skills can lead to a significant increase in pay. Here are examples of skills and the potential impact they can have on a Data Science Engineer's salary.
  • Inference: Can increase your salary by up to 8%.
  • Collaborating: Can increase your salary by up to 6%.
  • Creativity: Can increase your salary by up to 6%.
Skill Salary Salary % Increase
Inference
$160,034
8%
Collaborating
$157,071
6%
Creativity
$157,071
6%
Sales and Marketing
$155,589
5%
Pricing
$155,589
5%
Partnering
$154,107
4%
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Data Science Engineer Salary: Hourly Rate, Weekly Pay, and Monthly Pay

Understanding how a Data Science Engineer's annual salary breaks down can help with budgeting. Below, you can see the average hourly rate, weekly pay, and monthly pay for this role. Use the buttons to switch between different pay periods.

Last Updated on January 01, 2026

Salary Trends for Data Science Engineer

Salaries for a Data Science Engineer can change over time, reflecting shifts in market demand and the overall economy. The median salary decreased from $133,169 in 2023 to around $131,025 in 2025, reflecting changes in demand, location, experience, and the wider economy. For a detailed analysis of Data Science Engineer salary trends, .

Average Annual Salary of Data Science Engineer Over Time

2022
$???
2023
$133,169
2024
$132,716
2025
$131,025
2026
$???
2027
$???
Year Average Annual Salary
2022
View More
2023 $133,169
2024 $132,716
2025 $131,025
2026
View More
2027
View More

Most common benefits for Data Science Engineer

Social Security
401(k)
Disability
Healthcare
Pension
Time Off (days)
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Common company salaries for Data Science Engineer

Here are companies hiring for Data Science Engineer and their salaries, click below for more details.

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Where Does Our Salary Data Come From?

Salary.com provides salary estimates, histograms, trends, and comparisons using data from employer job postings and third-party sources.

We offer detailed salary information across multiple percentiles for your reference. (Click here to learn Why the Salary Midpoint Formula Is Crucial for Achieving Pay Equity.)

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