Data Monsters Salary

As of August 2026, the average annual salary for employees at Data Monsters in the United States is $122,504. This translates to an approximate hourly wage of $59. Salaries at Data Monsters typically range from $107,910 to $138,279 annually, reflecting the diverse roles and experience levels within the company.
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Current Job Openings at Data Monsters

Ready for your next career move? Explore current job openings at Data Monsters. Use the search tool below to find available positions by title and location and apply directly to start your career.

Is Data Monsters’s Pay Competitive? Salary Benchmarking Analysis

How does Data Monsters's compensation stack up against the industry and its key competitors? Our salary benchmarking analysis provides a clear comparison. The chart below visualizes this comparison alongside select peer companies.
Competitor / Benchmark Avg. Salary Variance Primary Market Influence Factor & Explanation
Etactics Inc $92,010
-24.9%
Etactics Inc may offer non-monetary perks in lieu of competitive base salaries.
UltraByte Technologies LLC $100,575
-17.9%
Typical compensation structure for smaller regional agencies like UltraByte Technologies LLC.
Lyte $120,226
-1.9%
Aligns perfectly with prevailing regional benchmarks for this specific job family.
Spire Digital $97,727
-20.2%
Spire Digital focuses strategically on recruiting and training entry-level apprentices.
Software & Networking Industry $126,859
+3.6%
Pay variances are driven by organizational scale, specialized skill requirements, or geographic cost-of-living factors.
Need More Granular Data? The analysis above provides a high-level market overview. To benchmark specific job codes, adjust for real-time cost-of-living changes, or access verified HR-reported datasets, upgrade to Salary.com for Business. Precision matters when building your compensation strategy.

Employee Reviews: Working at Data Monsters

Considering a career at Data Monsters? Explore authentic employee reviews to learn about the work environment, career growth opportunities, pay transparency and benefits. These first-hand insights can help you set realistic compensation expectations and make informed career decisions.
The company provides necessary tools, and the team is helpful. They’ve implemented several suggestions, improving workflow and morale. The retail operations run smoothly. A forward-thinking company with a great work environment.
While there aren’t many standout perks, the job stability is good. I enjoy working here because of the people and the positive culture. Overall, it’s a great workplace for those looking for stability and growth in wholesale/retail. The office environment is modern, and remote work flexibility is a plus. The team is cooperative, and tasks are clearly defined.
I’ve had a rewarding experience working here. The work-life balance is reasonable, and the benefits are competitive for the industry. Training is thorough, and coworkers are collaborative. Enjoy working here. The leadership team is engaged and encourages employee input. It’s a great place to build a long-term career. The company invests in employee development, and the benefits are competitive. Th...
The Retail & Wholesale industry can be fast-paced, but the workload is manageable, and the leadership ensures employees have the resources they need. Working here has been a rewarding experience. The company’s reputation in retail is strong, making it a desirable employer.

Data Monsters Overview

Website
www.datamonsters.com
Founded In
2015
Employees
25 - 50 employees
Industry
Software & Networking
Headquarter Address
530 Lytton Ave Palo Alto California CA 94301
Revenue
$10 Million - $50 Million
Phone Number
+1 4084570754
Social Media
About Data Monsters
Data Monsters, a Palo Alto-based R&D lab and consulting company, provides professional services with AI and Real-time Big Data. Data Monsters is also located in San Fran Cisco Bay Area, New York, Boston and Russia.

What Benefits Does Data Monsters Offer Beyond Salary?

A competitive compensation package is more than just a salary. Data Monsters offers a comprehensive benefits package designed to support your health, financial future, and overall well-being. Below are the most common key benefits:
Social Security
401(K)
Disability
Healthcare
Pension
Time Off (days)
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What Is the Cost of Living Near San Jose?

Understanding the cost of living near San Jose is key to truly evaluating a salary offer or your current compensation at Data Monsters.
San Jose's Cost of Living Index is approximately 214.5 (114.5% more expensive than US average; 53.4% more than CA average). Heart of Silicon Valley, astronomical housing costs, high transportation, and high prices for almost everything. When planning your budget based on a salary from Data Monsters, consider these typical monthly expenses:
Expense Category Estimated Monthly Cost Key Considerations / Notes
Housing (1-BR Apt Rent) $2,800 - $4,500+ A significant portion of Data Monsters salary. Location choices impact this heavily.
Utilities (Basic) $180 - $300 Electricity, Heating, Cooling, Water etc.
Public Transportation $80 (VTA monthly pass) Essential for most commuters; car ownership is costly.
Groceries (Single Person) $500 - $800 Can be higher with more dining out or specialty stores.
Personal & Leisure $550 - $1,100+ Dining out, entertainment, shopping. Highly variable.
Healthcare (Individual) $400 - $780+ Varies significantly by plan & employer contribution.
Subtotal (Excluding Taxes) $4,510 - $7,480+ This subtotal does not include income taxes (federal, state, local), which can significantly impact your take-home pay.

FAQs of Data Monsters

1. What is the typical salary range (low to high) for most roles at Data Monsters?

The typical annual salary range for most roles at Data Monsters is approximately from $107,910 to $138,279. It's important to remember that these are overall averages, actual salaries vary significantly based on specific job titles, years of experience, skills, and location.

2. How much does Data Monsters pay compared to Etactics Inc?

The average annual salary at Data Monsters is $122,504, or an hourly wage of $59, in comparison to Etactics Inc which pays $92,010 per year or $44 per hour.

3. Do salaries differ significantly between departments at Data Monsters?

Yes, salaries often differ between departments at Data Monsters due to varying market demand for specific skill sets and the nature of the roles. For example, technical roles in Engineering or IT may command different salary ranges compared to roles in Marketing or Human Resources.

4. How does experience level affect salary at Data Monsters?

Experience level is a significant factor in determining salary at Data Monsters, as it is with most employers. Generally, employees with more years of relevant experience and a proven track record can command higher salaries. For example, a senior-level role will typically have a higher pay band than an entry-level or mid-career position within the same job family.

5. How can I determine if a salary offer from Data Monsters in San Jose is fair given the local cost of living?

To determine if a salary offer from Data Monsters in San Jose is fair, first compare the gross salary to our data for similar roles at Data Monsters and its competitors (see our similar company salaries section) . Then, critically, use our "Cost of Living Insights for San Jose" to understand its purchasing power.

6. What are the key factors that influence salary levels at Data Monsters?

Several key factors influence salary levels at Data Monsters. These primarily include: 1. Job Role & Responsibilities: More complex roles with greater impact typically command higher pay. 2. Experience & Skills: Your years of relevant experience and specific in-demand skills are critical. 3. Performance: Strong performance can lead to higher raises and bonuses. 4. Location: Office location impacts pay due to varying local market rates and cost of living. 5. Industry Benchmarks: Data Monsters likely benchmarks its salaries against other companies in the Software & Networking sector. You can explore how these factors play out in our detailed salary data.